Shengxiang Yang
Orcid: 0000-0001-7222-4917Affiliations:
- De Montfort University, School of Computer Science and Informatics, Leicester, UK
- Brunel University, Department of Information Systems and Computing, Uxbridge, UK (2010 - 2012)
- University of Leicester, Department of Computer Science, UK (2000 - 2010)
- King's College London, Department of Computer Science, UK (1999 - 2000)
- Northeastern University, Institute of Systems Engineering, Shenyang, China (PhD 1999)
According to our database1,
Shengxiang Yang
authored at least 347 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection.
IEEE Trans. Evol. Comput., April, 2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint.
IEEE Trans. Evol. Comput., February, 2024
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes.
IEEE Trans. Evol. Comput., February, 2024
Weak relationship indicator-based evolutionary algorithm for multimodal multi-objective optimization.
Inf. Sci., January, 2024
Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization.
Inf. Sci., January, 2024
A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization.
Inf. Sci., 2024
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition.
CoRR, 2024
CoRR, 2024
Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures.
Proceedings of the Intelligent Information Processing XII, 2024
Proceedings of the Intelligent Information Processing XII, 2024
Proceedings of the Intelligent Information Processing XII, 2024
2023
IEEE Trans. Evol. Comput., December, 2023
A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization.
Swarm Evol. Comput., December, 2023
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.
Swarm Evol. Comput., December, 2023
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.
Knowl. Based Syst., November, 2023
Global and local feasible solution search for solving constrained multi-objective optimization.
Inf. Sci., November, 2023
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints.
IEEE Trans. Evol. Comput., October, 2023
IEEE Trans. Cybern., October, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Swarm Evol. Comput., July, 2023
A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation.
Inf. Sci., July, 2023
Biological survival optimization algorithm with its engineering and neural network applications.
Soft Comput., May, 2023
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts.
Inf. Sci., May, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance.
IEEE Trans. Cybern., April, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
A weight vector generation method based on normal distribution for preference-based multi-objective optimization.
Swarm Evol. Comput., March, 2023
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization.
Swarm Evol. Comput., March, 2023
Swarm Evol. Comput., March, 2023
IEEE Trans. Evol. Comput., 2023
Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2023
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty.
IEEE Trans Autom. Sci. Eng., 2023
A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies.
Swarm Evol. Comput., 2023
Swarm Evol. Comput., 2023
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction.
Swarm Evol. Comput., 2023
An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization.
Inf. Sci., 2023
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization.
Inf. Sci., 2023
An extended fuzzy decision variables framework for solving large-scale multiobjective optimization problems.
Inf. Sci., 2023
Appl. Soft Comput., 2023
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Decomposed Multi-objective Method Based on Q-Learning for Solving Multi-objective Combinatorial Optimization Problem.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Netw. Serv. Manag., 2022
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Cybern., 2022
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification.
IEEE Trans. Cybern., 2022
Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System.
IEEE Trans. Cybern., 2022
An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern., 2022
A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
IEEE Trans. Big Data, 2022
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey.
IEEE Trans. Artif. Intell., 2022
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution.
Swarm Evol. Comput., 2022
A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems.
Swarm Evol. Comput., 2022
A constrained multi-objective evolutionary strategy based on population state detection.
Swarm Evol. Comput., 2022
A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization.
Swarm Evol. Comput., 2022
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization.
Swarm Evol. Comput., 2022
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization.
Swarm Evol. Comput., 2022
Swarm Evol. Comput., 2022
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization.
Swarm Evol. Comput., 2022
A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm.
Soft Comput., 2022
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Medical Biol. Eng. Comput., 2022
Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm.
Inf. Sci., 2022
Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables.
Inf. Sci., 2022
A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci., 2022
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization.
Inf. Sci., 2022
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey.
CoRR, 2022
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments.
CoRR, 2022
Appl. Soft Comput., 2022
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities.
Appl. Soft Comput., 2022
Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern., 2021
Swarm Evol. Comput., 2021
Swarm Evol. Comput., 2021
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization.
Swarm Evol. Comput., 2021
A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization.
Swarm Evol. Comput., 2021
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization.
Swarm Evol. Comput., 2021
An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization.
Soft Comput., 2021
A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure.
Reliab. Eng. Syst. Saf., 2021
Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization.
Neural Comput. Appl., 2021
A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation.
Knowl. Based Syst., 2021
A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems.
Inf. Sci., 2021
Niche-based and angle-based selection strategies for many-objective evolutionary optimization.
Inf. Sci., 2021
A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization.
Inf. Sci., 2021
A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization.
Inf. Sci., 2021
Inf. Sci., 2021
A novel oversampling technique based on the manifold distance for class imbalance learning.
Int. J. Bio Inspired Comput., 2021
A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization.
Expert Syst. Appl., 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica.
CoRR, 2021
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark.
CoRR, 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Appl. Soft Comput., 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access, 2021
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution.
Proceedings of the Image and Graphics - 11th International Conference, 2021
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
IEEE Trans. Evol. Comput., 2020
A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Cybern., 2020
Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol., 2020
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach.
Knowl. Based Syst., 2020
A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems.
Inf. Sci., 2020
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection.
Inf. Sci., 2020
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation.
Inf. Sci., 2020
A dynamic multi-objective evolutionary algorithm based on intensity of environmental change.
Inf. Sci., 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR, 2020
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.
Cogn. Comput., 2020
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier].
IEEE Comput. Intell. Mag., 2020
Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization.
Appl. Soft Comput., 2020
Appl. Soft Comput., 2020
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020
2019
Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints.
IEEE Trans. Cybern., 2019
An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms.
IEEE Trans. Cybern., 2019
IEEE Trans. Cybern., 2019
Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams.
IEEE Trans. Cybern., 2019
A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model.
Swarm Evol. Comput., 2019
A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Swarm Evol. Comput., 2019
An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals.
Swarm Evol. Comput., 2019
Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons.
Swarm Evol. Comput., 2019
Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization.
Soft Comput., 2019
A predictive strategy based on special points for evolutionary dynamic multi-objective optimization.
Soft Comput., 2019
Accelerating differential evolution based on a subset-to-subset survivor selection operator.
Soft Comput., 2019
Inf. Sci., 2019
Inf. Sci., 2019
Inf. Sci., 2019
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation.
Inf. Sci., 2019
Novel implementation of defence strategy of relay attack based on cloud in RFID systems.
Int. J. Inf. Comput. Secur., 2019
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation.
CoRR, 2019
A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty.
Appl. Soft Comput., 2019
A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.
Appl. Soft Comput., 2019
IEEE Access, 2019
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Emerg. Top. Comput. Intell., 2018
IEEE Trans. Evol. Comput., 2018
IEEE Trans. Evol. Comput., 2018
Multiobjective optimization of the production process for ground granulated blast furnace slags.
Soft Comput., 2018
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling.
IEEE Trans. Intell. Transp. Syst., 2017
A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains.
IEEE Trans. Evol. Comput., 2017
A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2017
A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017
A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.
IEEE Trans. Evol. Comput., 2017
IEEE Trans. Cybern., 2017
Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons.
IEEE Trans. Cybern., 2017
A survey of swarm intelligence for dynamic optimization: Algorithms and applications.
Swarm Evol. Comput., 2017
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes.
Soft Comput., 2017
CoRR, 2017
A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast.
Comput. Networks, 2017
A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization.
Appl. Soft Comput., 2017
The effect of diversity maintenance on prediction in dynamic multi-objective optimization.
Appl. Soft Comput., 2017
Pheromone modification strategy for the dynamic travelling salesman problem with weight changes.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Recent Advances in Soft Computing, 2017
Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
IEEE Trans. Evol. Comput., 2016
IEEE Trans. Evol. Comput., 2016
An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts.
IEEE Trans. Cybern., 2016
Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays.
Soft Comput., 2016
Int. J. Wirel. Mob. Comput., 2016
Appl. Soft Comput., 2016
Proceedings of the Advances in Computational Intelligence Systems, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Railway platform reallocation after dynamic perturbations using ant colony optimisation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Differential evolution with a two-stage optimization mechanism for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks.
IEEE Trans. Intell. Transp. Syst., 2015
Training neural networks with ant colony optimization algorithms for pattern classification.
Soft Comput., 2015
Inf. Sci., 2015
Multi-population methods in unconstrained continuous dynamic environments: The challenges.
Inf. Sci., 2015
Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
Population-Based Incremental Learning with Immigrants Schemes in Changing Environments.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2014
Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2014
IEEE Trans. Cybern., 2014
Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans Autom. Sci. Eng., 2014
Inf. Sci., 2014
ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization.
Evol. Comput., 2014
Evol. Comput., 2014
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014
Dynamic railway junction rescheduling using population based ant colony optimisation.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014
A framework of scalable dynamic test problems for dynamic multi-objective optimization.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014
Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013
Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review.
Proceedings of the Handbook of Optimization - From Classical to Modern Approach, 2013
IEEE Trans. Evol. Comput., 2013
Fourth party logistics routing problem model with fuzzy duration time and cost discount.
Knowl. Based Syst., 2013
Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks.
Expert Syst. Appl., 2013
Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors.
Appl. Soft Comput., 2013
A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput., 2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
IEEE Trans. Syst. Man Cybern. Part B, 2012
A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments.
IEEE Trans. Evol. Comput., 2012
Swarm Evol. Comput., 2012
A memetic particle swarm optimization algorithm for multimodal optimization problems.
Inf. Sci., 2012
Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima.
Inf. Sci., 2012
A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems.
Int. J. Syst. Sci., 2012
Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Appl. Artif. Intell., 2012
Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks.
Proceedings of the 11th IEEE International Conference on Trust, 2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem.
Proceedings of the Applications of Evolutionary Computation, 2012
Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling.
IEEE Trans. Syst. Man Cybern. Part C, 2011
Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments.
Soft Comput., 2011
A memetic ant colony optimization algorithm for the dynamic travelling salesman problem.
Soft Comput., 2011
A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling.
J. Sched., 2011
Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems.
Int. J. Hybrid Intell. Syst., 2011
Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.
Appl. Soft Comput., 2011
A hybrid evolutionary multiobjective approach for the dynamic component selection problem.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011
Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011
An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem.
Proceedings of the Artificial Evolution, 2011
2010
Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
IEEE Trans. Syst. Man Cybern. Part C, 2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments.
IEEE Trans. Evol. Comput., 2010
J. Sched., 2010
A particle swarm optimization based memetic algorithm for dynamic optimization problems.
Nat. Comput., 2010
Memetic Comput., 2010
QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms.
J. Netw. Comput. Appl., 2010
Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks.
Eng. Appl. Artif. Intell., 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Applications of Evolutionary Computation, 2010
Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Proceedings of the Applications of Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
A hybrid genetic algorithm and inver over approach for the travelling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility.
Wirel. Commun. Mob. Comput., 2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems.
Soft Comput., 2009
Soft Comput., 2009
A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks.
Appl. Soft Comput., 2009
Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search.
Proceedings of the Fifth International Conference on Natural Computation, 2009
An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems.
Proceedings of the Applications of Evolutionary Computing, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Population-Based Incremental Learning With Associative Memory for Dynamic Environments.
IEEE Trans. Evol. Comput., 2008
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments.
Evol. Comput., 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the 9th International Conference for Young Computer Scientists, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Applications of Evolutionary Computing, 2008
Proceedings of the Applications of Evolutionary Computing, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
Int. J. Autom. Comput., 2007
A self-organizing random immigrants genetic algorithm for dynamic optimization problems.
Genet. Program. Evolvable Mach., 2007
Proceedings of the Applications of Evolutinary Computing, 2007
Proceedings of the Applications of Evolutinary Computing, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach., 2006
Adaptive mutation with fitness and allele distribution correlation for genetic algorithms.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach.
Proceedings of the International Joint Conference on Neural Networks, 2006
A comparative study of immune system based genetic algorithms in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Applications of Evolutionary Computing, 2006
On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Experimental study on population-based incremental learning algorithms for dynamic optimization problems.
Soft Comput., 2005
Proceedings of the IEEE International Conference on Systems, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Genetic algorithms with self-organized criticality for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Constructing dynamic test environments for genetic algorithms based on problem difficulty.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Proceedings of the Research and Development in Intelligent Systems XX, 2003
PDGA: the Primal-Dual Genetic Algorithm.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002
Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
2001
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling.
Comput. Oper. Res., 2001
2000
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling.
IEEE Trans. Neural Networks Learn. Syst., 2000