Yi Mei
Orcid: 0000-0003-0682-1363Affiliations:
- Victoria University of Wellington, School of Engineering and Computer Science, New Zealand
- University of Science and Technology of China, Hefei, China (Phd 2010)
According to our database1,
Yi Mei
authored at least 210 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling.
Genet. Program. Evolvable Mach., June, 2024
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison.
IEEE Comput. Intell. Mag., May, 2024
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling.
IEEE Trans. Evol. Comput., February, 2024
IEEE Trans. Cybern., February, 2024
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm.
CoRR, 2024
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems.
CoRR, 2024
2023
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., December, 2023
A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., December, 2023
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem.
IEEE Trans. Evol. Comput., December, 2023
A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation.
Swarm Evol. Comput., December, 2023
RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem.
IEEE Comput. Intell. Mag., November, 2023
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling.
IEEE Trans. Evol. Comput., October, 2023
IEEE Trans. Cybern., May, 2023
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., April, 2023
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization.
IEEE Trans. Cybern., March, 2023
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Evol. Comput., 2023
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic Aggregation.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Interpretability-Aware Multi-Objective Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
IEEE Trans. Evol. Comput., 2022
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes.
IEEE Trans. Evol. Comput., 2022
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2022
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Cybern., 2022
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.
IEEE Trans. Cybern., 2022
A Route Clustering and Search Heuristic for Large-Scale Multidepot-Capacitated Arc Routing Problem.
IEEE Trans. Cybern., 2022
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem.
IEEE Trans. Cybern., 2022
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents.
IEEE Trans. Cybern., 2022
Automated Coordination Strategy Design Using Genetic Programming for Dynamic Multipoint Dynamic Aggregation.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds.
IEEE Trans. Cloud Comput., 2022
Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times.
Knowl. Based Syst., 2022
Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches.
Comput. Ind. Eng., 2022
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
A multi-objective evolutionary algorithm with new reproduction and decomposition mechanisms for the multi-point dynamic aggregation problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 25th European Conference, 2022
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
A Novel Fitness Function for Genetic Programming in Dynamic Flexible Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Hybrid Grouping Genetic Algorithm for Large-Scale Two-Level Resource Allocation of Containers in the Cloud.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
2021
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021
Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem.
IEEE Trans. Serv. Comput., 2021
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling.
IEEE Trans. Evol. Comput., 2021
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2021
Cooperative coevolution for large-scale global optimization based on fuzzy decomposition.
Soft Comput., 2021
Divide-and-conquer large scale capacitated arc routing problems with route cutting off decomposition.
Inf. Sci., 2021
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling.
Evol. Comput., 2021
A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem.
CoRR, 2021
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques.
Artif. Intell. Medicine, 2021
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Springer, ISBN: 978-981-16-4858-8, 2021
2020
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression.
Soft Comput., 2020
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
Evol. Comput., 2020
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem.
Evol. Comput., 2020
A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A memetic level-based learning swarm optimizer for large-scale water distribution network optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 23rd European Conference, 2020
A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Evol. Comput., 2019
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition.
CoRR, 2019
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Novel Genetic Algorithm with Dual Chromosome Representation for Resource Allocation in Container-Based Clouds.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019
2018
A Bi-Level Optimization Model for Grouping Constrained Storage Location Assignment Problems.
IEEE Trans. Cybern., 2018
Evolutionary computation for automatic Web service composition: an indirect representation approach.
J. Heuristics, 2018
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genet. Program. Evolvable Mach., 2018
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018
Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018
Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2017
Memetic algorithm with route decomposing for periodic capacitated arc routing problem.
Appl. Soft Comput., 2017
A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO.
Appl. Soft Comput., 2017
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Fragment-based genetic programming for fully automated multi-objective web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Automated state feature learning for actor-critic reinforcement learning through NEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
Proceedings of the Genetic Programming - 20th European Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
Proceedings of the Artificial Life and Computational Intelligence, 2017
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization.
ACM Trans. Math. Softw., 2016
IEEE Trans. Evol. Comput., 2016
On investigation of interdependence between sub-problems of the Travelling Thief Problem.
Soft Comput., 2016
Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput., 2016
Efficient meta-heuristics for the Multi-Objective Time-Dependent Orienteering Problem.
Eur. J. Oper. Res., 2016
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016
Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
IEEE Trans. Evol. Comput., 2014
Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
A genetic programming-based hyper-heuristic approach for storage location assignment problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Decomposing Large-Scale Capacitated Arc Routing Problems using a random route grouping method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2011
IEEE Trans. Syst. Man Cybern. Part B, 2011
Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009