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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
Saber Mohamed, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014
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Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011
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mahmoud mohamed ismail ali, "AN EFFICIENT Hybrid Swarm Intelligence Technique for Solving Integer Programming", International Journal of Computers & Technology, 2013
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mahmoud mohamed ismail ali, "A Hybrid Swarm Intelligence Technique for Solving Integer Multi-objective Problems", international journal of computer applications, 2014
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mahmoud mohamed ismail ali, "An Improved Chaotic Flower Pollination Algorithm for Solving Large Integer Programming Problems", International Journal of Digital Content Technology and its Applications, 2014
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