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A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems
Faculty
Computer Science
Year:
2014
Type of Publication:
ZU Hosted
Pages:
1898 - 1905
Authors:
Eman samir hasan sayed
Staff Zu Site
Abstract In Staff Site
Journal:
Proceedings of IEEE Congress on Evolutionary computation (CEC) 2014 IEEE
Volume:
Keywords :
, Decomposition-based Algorithm , Dynamic Economic Dispatch Problems
Abstract:
Large scale constrained problems are complex problems due to their dimensionality, structure, in addition to their constraints. The performance of EAs decreases when the problem dimension increases. Decomposition-based EAs can overcome this
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, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 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
Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019
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Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014
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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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