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Self-Adaptive Differential Evolution Incorporating a Heuristic Mixing of Operators
Faculty
Computer Science
Year:
2012
Type of Publication:
ZU Hosted
Pages:
Authors:
Saber Mohamed
Staff Zu Site
Abstract In Staff Site
Journal:
Computational Optimization and Applications Springer
Volume:
771-790
Keywords :
Self-Adaptive Differential Evolution Incorporating , Heuristic Mixing
Abstract:
A considerable number of differential evolution variants have been proposed in the last few decades. However, no variant was able to consistently perform over a wide range of test problems. In this paper, propose two novel differential evol
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, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014
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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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Department Related Publications
Mohammed Abdel Basset Metwally Attia, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier, 2018
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Mai Mohammed Abdul Sattar Jaafar, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier, 2018
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Saber Mohamed, "A Constraint Consensus Memetic Algorithm for Solving Constrained Optimization Problems", Taylor & Francis, 2013
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Saber Mohamed, "Configuring Two-algorithm-based Evolutionary Approach for Solving Dynamic Economic Dispatch Problems", Elsevier, 2016
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Mohammed Abdel Basset Metwally Attia, "Enhanced multiobjective optimizer for GIS-based siting of solar PV plants in Red Sea Governorate, Egypt", Science Direct, 2023
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