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Differential Evolution with Dynamic Parameters Selection for Optimization Problems
Faculty
Computer Science
Year:
2014
Type of Publication:
ZU Hosted
Pages:
Authors:
Saber Mohamed
Staff Zu Site
Abstract In Staff Site
Journal:
IEEE Transactions on Evolutionary Computation IEEE
Volume:
Keywords :
Differential Evolution with Dynamic Parameters Selection
Abstract:
Over the last few decades, a number of differential evolution (DE) algorithms have been proposed with excellent performance on mathematical benchmarks. However, like any other optimization algorithm, the success of DE is highly dependent on
Author Related Publications
Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015
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Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013
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Saber Mohamed, "A Self-Adaptive Combined Strategies Algorithm for Constrained Optimization using Differential Evolution", ELSEVIER, 2014
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Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014
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Saber Mohamed, "Adaptive Configuration of Evolutionary Algorithms for Constrained Optimization", ELSEVIER, 2013
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Department Related Publications
Saber Mohamed, "The influence of the Initial Number of Feasible Solutions on the Performance of Evolutionary Optimization Algorithm", Springer, 2012
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Saber Mohamed, "A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization", Springer, 2010
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Saber Mohamed, "Improved Genetic Algorithm for Constrained Optimization", IEEE, 2011
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Mai Mohammed Abdul Sattar Jaafar, "A Hybrid Neutrosophic Group ANP-TOPSIS Framework for Supplier Selection Problems", mdpi, 2018
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Karam Mohamed Gohda Salam, "An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems", IEEE xplore, 2020
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