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A constraint consensus memetic algorithm for solving constrained optimization problems
Faculty
Computer Science
Year:
2014
Type of Publication:
ZU Hosted
Pages:
Authors:
Noha Mohamed Ibrahiem Mohamed Hamza
Staff Zu Site
Abstract In Staff Site
Journal:
Engineering Optimization Taylor & Francis
Volume:
Keywords :
, constraint consensus memetic algorithm , solving constrained
Abstract:
Constraint handling is an important aspect of evolutionary constrained optimization. Currently, the mechanism used for constraint handling with evolutionary algorithms mainly assists the selection process, but not the actual searc
Author Related Publications
Noha Mohamed Ibrahiem Mohamed Hamza, "Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization", IEEE, 2016
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Saber Mohamed, "Online Generation of Trajectories for Autonomous Vehicles using a Multi-Agent System", IEEE, 2014
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Saber Mohamed, "Parameters Adaptation in Differential Evolution", IEEE, 2012
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Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012
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Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014
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Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014
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