Ruhul A. Sarker

Orcid: 0000-0002-1363-2774

Affiliations:
  • University of New South Wales, School of Engineering and Information Technology, Australia


According to our database1, Ruhul A. Sarker authored at least 243 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2023
EV Hosting Capacity Enhancement in a Community Microgrid Through Dynamic Price Optimization-Based Demand Response.
IEEE Trans. Cybern., December, 2023

Revisiting Implicit and Explicit Averaging for Noisy Optimization.
IEEE Trans. Evol. Comput., October, 2023

EEvoU-Net: An ensemble of evolutionary deep fully convolutional neural networks for medical image segmentation.
Appl. Soft Comput., August, 2023

Solving electric vehicle-drone routing problem using memetic algorithm.
Swarm Evol. Comput., 2023

Landscape-Based Genetic Algorithm with Quantum Entanglement for Dynamic Optimization Problems.
Proceedings of the 15th International Conference on Software, 2023

Electric Vehicle-Drone Routing Problem with Optional Drone Availability.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Replenishment Decisions in a Perishable Food Supply Chain.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

2022
Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations.
IEEE Trans. Evol. Comput., 2022

Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions.
IEEE Trans. Cybern., 2022

PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods.
SoftwareX, 2022

EvoDCNN: An evolutionary deep convolutional neural network for image classification.
Neurocomputing, 2022

Solving a novel multi-divisional project portfolio selection and scheduling problem.
Eng. Appl. Artif. Intell., 2022

A decomposition approach for large-scale non-separable optimization problems.
Appl. Soft Comput., 2022

A combined approach for modeling multi-echelon multi-period decentralized supply chain.
Ann. Oper. Res., 2022

A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Coevolution with Danger Zone Levels Strategy for the Weapon Target Assignment Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Multi-Operator based Genetic Algorithm for Resource Constrained Project Scheduling.
Proceedings of the 14th International Conference on Software, 2022

Evolutionary Constrained Optimization with Dynamic Changes and Uncertainty in the Objective Function.
Proceedings of the 14th International Conference on Software, 2022

Coevolutionary Algorithm for Evolving Competitive Strategies in the Weapon Target Assignment Problem.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

Solving constrained problems with dynamic objective functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization.
IEEE Trans. Evol. Comput., 2021

A Novel Parametric benchmark generator for dynamic multimodal optimization.
Swarm Evol. Comput., 2021

Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation.
J. Digit. Imaging, 2021

Weighted pointwise prediction method for dynamic multiobjective optimization.
Inf. Sci., 2021

An evolutionary approach for resource constrained project scheduling with uncertain changes.
Comput. Oper. Res., 2021

A Two-stage Simulation Assisted Differential Evolution Algorithm for Reliable Chance Constrained Programming with Minimum Risk Level.
Appl. Soft Comput., 2021

A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems.
Appl. Soft Comput., 2021

Genetic Algorithm for Singular Resource Constrained Project Scheduling Problems.
IEEE Access, 2021

A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design.
IEEE Access, 2021

A Systematic Review of Coevolution in Real-Time Strategy Games.
IEEE Access, 2021

Project portfolio selection with defense capability options.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Parallel Evolutionary Algorithm for EEG Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Single mode resource constrained project scheduling with unreliable resources.
Oper. Res., 2020

Evolutionary approach for large-Scale mine scheduling.
Inf. Sci., 2020

Landscape-assisted multi-operator differential evolution for solving constrained optimization problems.
Expert Syst. Appl., 2020

Production planning and scheduling in mining scenarios under IPCC mining systems.
Comput. Oper. Res., 2020

Hybrid evolutionary algorithm for large-scale project scheduling problems.
Comput. Ind. Eng., 2020

Resource Constrained Project Scheduling With Dynamic Disruption Recovery.
IEEE Access, 2020

Heuristic Enhanced Evolutionary Algorithm for Community Microgrid Scheduling.
IEEE Access, 2020

Contribution Based Co-Evolutionary Algorithm for Large-Scale Optimization Problems.
IEEE Access, 2020

Landscape-Based Similarity Check Strategy for Dynamic Optimization Problems.
IEEE Access, 2020

An Evolutionary DenseRes Deep Convolutional Neural Network for Medical Image Segmentation.
IEEE Access, 2020

Portfolio Optimization for Defence Applications.
IEEE Access, 2020

Sensitivity-Based Change Detection for Dynamic Constrained Optimization.
IEEE Access, 2020

Economic-Environmental Scheduling of Community Microgrid using Evolutionary Algorithm.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Memetic Algorithm for Heterogeneous Project Scheduling Problems.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolutionary Search from the Interior of Feasible Space.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

EvoU-Net: an evolutionary deep fully convolutional neural network for medical image segmentation.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Bi-objective Multistage Decentralized Supply Chain Planning.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

Evolutionary Attention Network for Medical Image Segmentation.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Heuristic Embedded Genetic Algorithm for Heterogeneous Project Scheduling Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Adaptive Sorting-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Fuzzy Rule-Based Design of Evolutionary Algorithm for Optimization.
IEEE Trans. Cybern., 2019

Multi-method based algorithm for multi-objective problems under uncertainty.
Inf. Sci., 2019

Transfer learning-assisted multi-objective evolutionary clustering framework with decomposition for high-dimensional data.
Inf. Sci., 2019

Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm.
Appl. Soft Comput., 2019

A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain.
Ann. Oper. Res., 2019

Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Quantum Differential Evolution: an Investigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A New Prediction Approach for Dynamic Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets.
IEEE Trans. Evol. Comput., 2018

Adaptation of operators and continuous control parameters in differential evolution for constrained optimization.
Soft Comput., 2018

A reactive mitigation approach for managing supply disruption in a three-tier supply chain.
J. Intell. Manuf., 2018

Near-Optimal Heuristics for Just-In-Time Jobs Maximization in Flow Shop Scheduling.
Algorithms, 2018

A Study of Robustness in Evolutionary Simulation Optimization Algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Enhanced Differential Grouping for Large Scale Optimization.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Scenario-Based Solution Approach for Uncertain Resource Constrained Scheduling Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Landscape-Based Differential Evolution for Constrained Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Improved United Multi-Operator Algorithm for Solving Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Improved Multi-Objective Evolutionary Approach for Clustering High-Dimensional Data.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2017
Sequence-Based Deterministic Initialization for Evolutionary Algorithms.
IEEE Trans. Cybern., 2017

Landscape-based adaptive operator selection mechanism for differential evolution.
Inf. Sci., 2017

A local branching heuristic for the open pit mine production scheduling problem.
Eur. J. Oper. Res., 2017

A quantitative model for disruption mitigation in a supply chain.
Eur. J. Oper. Res., 2017

Reduced search space mechanism for solving constrained optimization problems.
Eng. Appl. Artif. Intell., 2017

Resource constrained project scheduling with uncertain activity durations.
Comput. Ind. Eng., 2017

<sup>Co-evolutionary approach for strategic bidding in competitive electricity markets</sup>.
Appl. Soft Comput., 2017

Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms.
Appl. Soft Comput., 2017

On solving periodic re-optimization dynamic vehicle routing problems.
Appl. Soft Comput., 2017

A genetic algorithm for permutation flowshop scheduling under practical make-to-order production system.
Artif. Intell. Eng. Des. Anal. Manuf., 2017

Fast differential evolution for big optimization.
Proceedings of the 11th International Conference on Software, 2017

An Approach for Host-Based Intrusion Detection System Design Using Convolutional Neural Network.
Proceedings of the Mobile Networks and Management - 9th International Conference, 2017

Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Detectable Genetic Algorithms-Based Techniques for Solving Dynamic Optimisation Problem with Unknown Active Variables.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization.
IEEE Trans. Evol. Comput., 2016

Differential evolution framework for big data optimization.
Memetic Comput., 2016

Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems.
Eng. Appl. Artif. Intell., 2016

Multi-mode resource constrained project scheduling under resource disruptions.
Comput. Chem. Eng., 2016

Managing risk in production scheduling under uncertain disruption.
Artif. Intell. Eng. Des. Anal. Manuf., 2016

Two-phase differential evolution framework for solving optimization problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

A co-evolutionary approach for optimal bidding strategy of multiple electricity suppliers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Enhanced multi-operator differential evolution for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Testing united multi-operator evolutionary algorithms-II on single objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Exploring the Feasible Space Using Constraint Consensus in Solving Constrained Optimization Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Dynamic Configuration of Differential Evolution Control Parameters and Operators.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Investigating Multi-Operator Differential Evolution for Feature Selection.
Proceedings of the Artificial Life and Computational Intelligence, 2016

A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Solving Dynamic Optimisation Problems with Known Changeable Boundaries.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization.
IEEE Trans. Evol. Comput., 2015

Decomposition-based evolutionary algorithm for large scale constrained problems.
Inf. Sci., 2015

Survey of Uses of Evolutionary Computation Algorithms and Swarm Intelligence for Network Intrusion Detection.
Int. J. Comput. Intell. Appl., 2015

A real-time order acceptance and scheduling approach for permutation flow shop problems.
Eur. J. Oper. Res., 2015

A disruption recovery plan in a three-stage production-inventory system.
Comput. Oper. Res., 2015

A genetic algorithm for permutation flow shop scheduling under make to stock production system.
Comput. Ind. Eng., 2015

Managing disruption in an imperfect production-inventory system.
Comput. Ind. Eng., 2015

A possibilistic environment based particle swarm optimization for aggregate production planning.
Comput. Ind. Eng., 2015

Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization.
Appl. Soft Comput., 2015

A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints.
Appl. Soft Comput., 2015

An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems.
Appl. Math. Comput., 2015

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, 2015

Neurodynamic differential evolution algorithm and solving CEC2015 competition problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evaluating the performance of a differential evolution algorithm in anomaly detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Memetic algorithm for solving resource constrained project scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Lifetime optimization for reliable broadcast and multicast in wireless <i>ad hoc</i> networks.
Wirel. Commun. Mob. Comput., 2014

Differential Evolution With Dynamic Parameters Selection for Optimization Problems.
IEEE Trans. Evol. Comput., 2014

Self-adaptive mix of particle swarm methodologies for constrained optimization.
Inf. Sci., 2014

Dynamic stopping criteria for search-based test data generation for path testing.
Inf. Softw. Technol., 2014

Real time disruption management for a two-stage batch production-inventory system with reliability considerations.
Eur. J. Oper. Res., 2014

A new genetic algorithm for solving optimization problems.
Eng. Appl. Artif. Intell., 2014

A self-adaptive combined strategies algorithm for constrained optimization using differential evolution.
Appl. Math. Comput., 2014

An adaptive hybrid differential evolution algorithm for single objective optimization.
Appl. Math. Comput., 2014

Solving Dynamic Optimisation Problem with Variable Dimensions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Solving an economic and environmental dispatch problem using evolutionary algorithm.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014

Managing supply disruption in a three-tier supply chain with multiple suppliers and retailers.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014

Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem.
Proceedings of the Computer Information Systems and Industrial Management, 2014

A decomposition-based algorithm for dynamic economic dispatch problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A memetic algorithm for solving permutation flow shop problems with known and unknown machine breakdowns.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Differential evolution with a constraint consensus mutation for solving optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Online generation of trajectories for autonomous vehicles using a multi-agent system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

United multi-operator evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems.
IEEE Trans. Ind. Informatics, 2013

Differential evolution with multi-constraint consensus methods for constrained optimization.
J. Glob. Optim., 2013

Optimum Oil Production Planning Using Infeasibility Driven Evolutionary Algorithm.
Evol. Comput., 2013

Self-adaptive differential evolution incorporating a heuristic mixing of operators.
Comput. Optim. Appl., 2013

A recovery model for a two-echelon serial supply chain with consideration of transportation disruption.
Comput. Ind. Eng., 2013

Hybrid Evolutionary Algorithm for job scheduling under machine maintenance.
Appl. Soft Comput., 2013

Adaptive Configuration of evolutionary algorithms for constrained optimization.
Appl. Math. Comput., 2013

Differential Evolution with automatic population injection scheme for constrained problems.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A Disruption Recovery Model in a Production-Inventory System with Demand Uncertainty and Process Reliability.
Proceedings of the Computer Information Systems and Industrial Management, 2013

A memetic algorithm for Permutation Flow Shop Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Differential evolution with automatic parameter configuration for solving the CEC2013 competition on Real-Parameter Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Particle Swarm Optimizer for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Memetic Algorithms in Constrained Optimization.
Proceedings of the Handbook of Memetic Algorithms, 2012

Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment.
IEEE Trans. Evol. Comput., 2012

Handling equality constraints in evolutionary optimization.
Eur. J. Oper. Res., 2012

A disruption recovery model for a single stage production-inventory system.
Eur. J. Oper. Res., 2012

On an evolutionary approach for constrained optimization problem solving.
Appl. Soft Comput., 2012

Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Dependency Identification technique for large scale optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Parameters adaptation in Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Memetic multi-topology particle swarm optimizer for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An adaptive constraint handling approach embedded MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2012 IEEE Congress on Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Handling equality constraints with agent-based memetic algorithms.
Memetic Comput., 2011

Effects of Adaptive Social Networks on the Robustness of Evolutionary Algorithms.
Int. J. Artif. Intell. Tools, 2011

Multi-operator based evolutionary algorithms for solving constrained optimization problems.
Comput. Oper. Res., 2011

Solving the ship inventory routing and scheduling problem with undedicated compartments.
Comput. Ind. Eng., 2011

Vertical Decomposition with Genetic Algorithm for Multiple Sequence Alignment.
BMC Bioinform., 2011

Planning Relocation of People for Developing Surface Mines in Densely Populated Areas: Optimization of Multiple Objectives.
Asia Pac. J. Oper. Res., 2011

Interactive Fuzzy Goal Programming Model Based on Differential Evolution for Regional Sustainability Development under Climate.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate Change.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Multi-heuristics based Genetic Algorithm for solving maritime inventory routing problem.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

Differential evolution combined with constraint consensus for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Integrated strategies differential evolution algorithm with a local search for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

GA with a new multi-parent crossover for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A grid-based heuristic for two-dimensional packing problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

An adaptive differential evolution algorithm and its performance on real world optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

DGA: Decomposition with genetic algorithm for multiple sequence alignment.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Evolutionary scheduling with rescheduling option for sudden machine breakdowns.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

AMA: a new approach for solving constrained real-valued optimization problems.
Soft Comput., 2009

Making and breaking power laws in evolutionary algorithm population dynamics.
Memetic Comput., 2009

Memetic algorithms for solving job-shop scheduling problems.
Memetic Comput., 2009

An interactive decision support system for implementing sustainable relocation strategies for adaptation to climate change: a multi-objective optimisation approach.
Int. J. Math. Oper. Res., 2009

Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem
CoRR, 2009

Computational Scenario-based Capability Planning
CoRR, 2009

An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
The Self-Organization of Interaction Networks for Nature-Inspired Optimization.
IEEE Trans. Evol. Comput., 2008

Analyzing the Simple Ranking and Selection Process for Constrained Evolutionary Optimization.
J. Comput. Sci. Technol., 2008

Improved evolutionary algorithms for solving constrained optimization problems with tiny feasible space.
Proceedings of the IEEE International Conference on Systems, 2008

Partial decomposition and parallel GA (PD-PGA) for constrained optimization.
Proceedings of the IEEE International Conference on Systems, 2008

Task Decomposition for Optimization Problem Solving.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Strategic positioning in tactical scenario planning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Search space reduction technique for constrained optimization with tiny feasible space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Computational scenario-based capability planning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

GA with priority rules for solving Job-Shop Scheduling Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Optimum Oil Production Planning using an Evolutionary Approach.
Proceedings of the Evolutionary Scheduling, 2007

A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities.
Proceedings of the Evolutionary Scheduling, 2007

Modelling Internet End-to-End Loss Behaviors: A Congestion Control Perspective.
J. Comput., 2007

An Evolutionary Agent System for Mathematical Programming.
Proceedings of the Advances in Computation and Intelligence, 2007

A Self-adaptive Mutations with Multi-parent Crossover Evolutionary Algorithm for Solving Function Optimization Problems.
Proceedings of the Advances in Computation and Intelligence, 2007

Improving the Performance of Genetic Algorithm in Capacitated Vehicle Routing Problem using Self Imposed Constraints.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

An agent-based memetic algorithm (AMA) for solving constrained optimazation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

An evolutionary algorithm for machine layout and job assignment problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Modified genetic algorithm for job-shop scheduling: A gap utilization technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Combined MA-GA Approach for Solving Constrained Optimization Problems.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

Hybrid Genetic Algorithm for Solving Job-Shop Scheduling Problem.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
Characterizing Warfare in Red Teaming.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Foreword.
Ann. Oper. Res., 2006

Land Combat Scenario Planning: A Multiobjective Approach.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

A Simple Ranking and Selection for Constrained Evolutionary Optimization.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Credit assignment in adaptive evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Use of statistical outlier detection method in adaptive evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Multiobjective Evolutionary Approach to the Solution of Gas Lift Optimization Problems.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
WISDOM-II: A Network Centric Model for Warfare.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Evolving agents for network centric warfare.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multiobjective Evolutionary Algorithms for solving Constrained Optimization Problems.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

A Multi-agent Simulation Study for Supply Chain Operation.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Chapter 25 Evolving Capability Requirements in WISDOM-II.
Proceedings of the Recent Advances in Artificial Life, 2005

2004
Differential Evolution for Solving multiobjective Optimization Problems.
Asia Pac. J. Oper. Res., 2004

Landscape Dynamics in Multi-agent Simulation Combat Systems.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Evolutionary Optimization (Evopt): A Brief Review And Analysis.
Int. J. Comput. Intell. Appl., 2003

SVM Based Models for Predicting Foreign Currency Exchange Rates.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Population size, search space and quality of solution: an experimental study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Optimization model for opportunistic replacement policy using genetic algorithm with fuzzy logic controller.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
The Pareto Differential Evolution Algorithm.
Int. J. Artif. Intell. Tools, 2002

A new multiobjective evolutionary algorithm.
Eur. J. Oper. Res., 2002

2001
An optimal batch size under a periodic delivery policy.
Int. J. Syst. Sci., 2001

PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
A note on production capacity planning and control in multi-stage manufacturing.
J. Oper. Res. Soc., 2000


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