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Decomposition-based evolutionary algorithm for large scale constrained problems
Faculty
Computer Science
Year:
2014
Type of Publication:
ZU Hosted
Pages:
Authors:
Eman samir hasan sayed
Staff Zu Site
Abstract In Staff Site
Journal:
Information Sciences Elsevier Inc
Volume:
Keywords :
Decomposition-based evolutionary algorithm , large scale constrained
Abstract:
Abstract Cooperative Coevolutionary algorithms (CC) have been successful in solving large scale optimization problems. The performance of CC can be improved by decreasing the number of interdependent variables among decomposed subproblems.
Author Related Publications
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, "Decision Making Assessment for Site Selection Using the AHP and TOPSIS Methods", Statistical studies institution, Cairo University, Egypt, 2007
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Eman samir hasan sayed, "Dependency Identification technique for large scale optimization problems", IEEE, 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, "Large Scale Optimization based on self-directed Local Search", ASOR Bulletin, 2011
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Department Related Publications
Karam mohamed goda, "Hybrid Gene Selection Methods of Microarray Data for Cancer Classification", International Journal of Graphics & Image Processing |Vol 2|issue 3|August 2012 , 2013
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Saber Mohamed, "Evolving the Parameters of Differential Evolution using Evolutionary Algorithms", Springer, 2014
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Saber Mohamed, "A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization", Springer, 2010
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Saber Mohamed, "Differential Evolution with Multiple Strategies for Solving CEC2011 Real-world Numerical Optimization Problems", IEEE, 2011
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Eman samir hasan sayed, "Dependency Identification technique for large scale optimization problems", IEEE, 2012
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