Saber M. Elsayed

Orcid: 0000-0003-0836-6122

According to our database1, Saber M. Elsayed authored at least 129 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Large-scale evolutionary optimization: A review and comparative study.
Swarm Evol. Comput., 2024

Multiple landscape measure-based approach for dynamic optimization problems.
Swarm Evol. Comput., 2024

Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Constraint Consensus for Solving Large-scale Constrained Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Differential Evolution Algorithm for Battlefield Surveillance Sensor Placement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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

Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

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

Towards Mitigating ChatGPT's Negative Impact on Education: Optimizing Question Design through Bloom's Taxonomy.
CoRR, 2023

Planning-assisted autonomous swarm shepherding with collision avoidance.
CoRR, 2023

Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding.
Proceedings of the International Joint Conference on Neural Networks, 2023

Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance Assessment.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

Effective Robotic Swarm Shepherding in the Presence of Obstacles.
Proceedings of the IEEE Congress on Evolutionary Computation, 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

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

Reinforcement Learning for Solving Communication Problems in Shepherding.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

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

Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System.
Proceedings of the Intelligent Transport Systems - 6th EAI International Conference, 2022

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

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

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

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

A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Learning For Noisy Communication System.
Proceedings of the 31st International Telecommunication Networks and Applications Conference, 2021

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

Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Graph-based Approach for Shepherding Swarms with Limited Sensing Range.
Proceedings of the IEEE Congress on Evolutionary Computation, 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
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

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

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

Evolutionary Framework With Reinforcement Learning-Based Mutation Adaptation.
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

Portfolio Optimization for Defence Applications.
IEEE Access, 2020

The Limits of Reactive Shepherding Approaches for Swarm Guidance.
IEEE Access, 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

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

A preliminary study towards an improved shepherding model.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained 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

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey.
IEEE Access, 2019

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

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

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

Consolidated optimization algorithm for resource-constrained project scheduling problems.
Inf. Sci., 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

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

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

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

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

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

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

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

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

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

A decomposition-based algorithm for dynamic economic dispatch 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

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

2012
Evolutionary Approach for Constrained Optimization.
PhD thesis, 2012

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

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

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

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


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