Saber M. Elsayed

According to our database1, Saber M. Elsayed authored at least 64 papers between 2010 and 2019.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

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

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. Evolutionary Computation, 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.
Environmental Modelling and Software, 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. Cybernetics, 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

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

Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms.
Appl. Soft Comput., 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 Computing, 2016

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

Two-phase differential evolution framework for solving optimization problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 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.
International Journal of Computational Intelligence and Applications, 2015

Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization.
Appl. Soft Comput., 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. Evolutionary Computation, 2014

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

A new genetic algorithm for solving optimization problems.
Eng. Appl. of AI, 2014

A self-adaptive combined strategies algorithm for constrained optimization using differential evolution.
Applied Mathematics and Computation, 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. Industrial Informatics, 2013

Self-adaptive differential evolution incorporating a heuristic mixing of operators.
Comp. Opt. and Appl., 2013

Adaptive Configuration of evolutionary algorithms for constrained optimization.
Applied Mathematics and Computation, 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.
Computers & OR, 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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