Saber M. Elsayed

Proceedings of the Intelligent Transport Systems - 6th EAI International Conference, 2022

Solving constrained problems with dynamic objective functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization.

[BibT_eX]

[DOI]

Ali Ahrari

Ruhul Amin Sarker

IEEE Trans. Evol. Comput., 2021

A Novel Parametric benchmark generator for dynamic multimodal optimization.

[BibT_eX]

[DOI]

Ali Ahrari

Ruhul Amin Sarker

Swarm Evol. Comput., 2021

Weighted pointwise prediction method for dynamic multiobjective optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2021

An evolutionary approach for resource constrained project scheduling with uncertain changes.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2021

A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling.

[BibT_eX]

[DOI]

Hatem M. H. Saad

Ripon K. Chakrabortty

IEEE Access, 2021

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

[BibT_eX]

[DOI]

IEEE Access, 2021

A Systematic Review of Coevolution in Real-Time Strategy Games.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Learning For Noisy Communication System.

[BibT_eX]

[DOI]

Proceedings of the 31st International Telecommunication Networks and Applications Conference, 2021

Project portfolio selection with defense capability options.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study.

[BibT_eX]

[DOI]

Hatem M. H. Saad

Ripon K. Chakrabortty

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Graph-based Approach for Shepherding Swarms with Limited Sensing Range.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Parallel Evolutionary Algorithm for EEG Optimization Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Evolutionary approach for large-Scale mine scheduling.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Landscape-assisted multi-operator differential evolution for solving constrained optimization problems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Hybrid evolutionary algorithm for large-scale project scheduling problems.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2020

Resource Constrained Project Scheduling With Dynamic Disruption Recovery.

[BibT_eX]

[DOI]

IEEE Access, 2020

Evolutionary Framework With Reinforcement Learning-Based Mutation Adaptation.

[BibT_eX]

[DOI]

Karam M. Sallam

Ripon Kumar Chakrabortty

IEEE Access, 2020

Contribution Based Co-Evolutionary Algorithm for Large-Scale Optimization Problems.

[BibT_eX]

[DOI]

IEEE Access, 2020

Landscape-Based Similarity Check Strategy for Dynamic Optimization Problems.

[BibT_eX]

[DOI]

IEEE Access, 2020

Portfolio Optimization for Defence Applications.

[BibT_eX]

[DOI]

IEEE Access, 2020

The Limits of Reactive Shepherding Approaches for Swarm Guidance.

[BibT_eX]

[DOI]

IEEE Access, 2020

An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A preliminary study towards an improved shepherding model.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems.

[BibT_eX]

[DOI]

Karam M. Sallam

Ripon Kumar Chakrabortty

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems.

[BibT_eX]

[DOI]

Karam M. Sallam

Ripon Kumar Chakrabortty

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems.

[BibT_eX]

[DOI]

Noha M. Hamza

Efrén Mezura-Montes

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Adaptive Sorting-Based Evolutionary Algorithm for Many-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

Fuzzy Rule-Based Design of Evolutionary Algorithm for Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Multi-method based algorithm for multi-objective problems under uncertainty.

[BibT_eX]

[DOI]

Inf. Sci., 2019

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

[BibT_eX]

[DOI]

Inf. Sci., 2019

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey.

[BibT_eX]

[DOI]

IEEE Access, 2019

Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Quantum Differential Evolution: an Investigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A New Prediction Approach for Dynamic Multiobjective Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2018

Adaptation of operators and continuous control parameters in differential evolution for constrained optimization.

[BibT_eX]

[DOI]

Soft Comput., 2018

Modelling and mitigation of storm-induced saltwater intrusion: Improvement of the resilience of coastal aquifers against marine floods by subsurface drainage.

[BibT_eX]

[DOI]

Hocine Oumeraci

Environ. Model. Softw., 2018

Enhanced Differential Grouping for Large Scale Optimization.

[BibT_eX]

[DOI]

Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Scenario-Based Solution Approach for Uncertain Resource Constrained Scheduling Problems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Landscape-Based Differential Evolution for Constrained Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Improved United Multi-Operator Algorithm for Solving Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Improved Multi-Objective Evolutionary Approach for Clustering High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2017

Sequence-Based Deterministic Initialization for Evolutionary Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Landscape-based adaptive operator selection mechanism for differential evolution.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Consolidated optimization algorithm for resource-constrained project scheduling problems.

[BibT_eX]

[DOI]

Mahidur R. Sarker

Inf. Sci., 2017

<sup>Co-evolutionary approach for strategic bidding in competitive electricity markets</sup>.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

Fast differential evolution for big optimization.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Software, 2017

Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Differential evolution framework for big data optimization.

[BibT_eX]

[DOI]

Memetic Comput., 2016

Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2016

Two-phase differential evolution framework for solving optimization problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Proceedings in Adaptation, Learning and Optimization.

[BibT_eX]

[DOI]

Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Enhanced multi-operator differential evolution for constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Testing united multi-operator evolutionary algorithms-II on single objective optimization problems.

[BibT_eX]

[DOI]

Noha M. Hamza

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators.

[BibT_eX]

[DOI]

Md Forhad Zaman

Proceedings of the Artificial Life and Computational Intelligence, 2016

Dynamic Configuration of Differential Evolution Control Parameters and Operators.

[BibT_eX]

[DOI]

Proceedings of the Artificial Life and Computational Intelligence, 2016

Investigating Multi-Operator Differential Evolution for Feature Selection.

[BibT_eX]

[DOI]

Essam Soliman Debie

Proceedings of the Artificial Life and Computational Intelligence, 2016

A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems.

[BibT_eX]

[DOI]

Ismail M. Ali

Proceedings of the Artificial Life and Computational Intelligence, 2016

2015

Decomposition-based evolutionary algorithm for large scale constrained problems.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Survey of Uses of Evolutionary Computation Algorithms and Swarm Intelligence for Network Intrusion Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2015

Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

Proceedings in Adaptation, Learning and Optimization.

[BibT_eX]

[DOI]

Md Forhad Zaman

Proceedings of the Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, 2015

Neurodynamic differential evolution algorithm and solving CEC2015 competition problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evaluating the performance of a differential evolution algorithm in anomaly detection.

[BibT_eX]

[DOI]

Jill Slay

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Memetic algorithm for solving resource constrained project scheduling problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Differential Evolution With Dynamic Parameters Selection for Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2014

Self-adaptive mix of particle swarm methodologies for constrained optimization.

[BibT_eX]

[DOI]

Efrén Mezura-Montes

Inf. Sci., 2014

A new genetic algorithm for solving optimization problems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2014

A self-adaptive combined strategies algorithm for constrained optimization using differential evolution.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2014

A decomposition-based algorithm for dynamic economic dispatch problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Online generation of trajectories for autonomous vehicles using a multi-agent system.

[BibT_eX]

[DOI]

Garrison W. Greenwood

Hussein A. Abbass

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

United multi-operator evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2013

Self-adaptive differential evolution incorporating a heuristic mixing of operators.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2013

Adaptive Configuration of evolutionary algorithms for constrained optimization.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2013

Differential Evolution with automatic population injection scheme for constrained problems.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

2012

Evolutionary Approach for Constrained Optimization.

[BibT_eX]

[DOI]

PhD thesis, 2012

On an evolutionary approach for constrained optimization problem solving.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2012

The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Parameters adaptation in Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Memetic multi-topology particle swarm optimizer for constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Multi-operator based evolutionary algorithms for solving constrained optimization problems.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2011

Differential evolution combined with constraint consensus for constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Integrated strategies differential evolution algorithm with a local search for constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

GA with a new multi-parent crossover for constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization.

[BibT_eX]

[DOI]