Multiobjective Optimization Based on Rough Set Theory: Methodology and Application - Couverture souple

Abd Elsameea Hussein, Mohamed; Allah A. Mousa, Abd; A. Elsawy, Ahmed

9783659846854: Multiobjective Optimization Based on Rough Set Theory: Methodology and Application

Couverture souple

ISBN 10 : 3659846856 ISBN 13 : 9783659846854

Editeur : LAP LAMBERT Academic Publishing, 2016

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In this book we present a new optimization algorithm, the proposed algorithm operates in two phases: in the first one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true Pareto front. This algorithm based on concept of co-evolution and repair algorithm for handling nonlinear constraints. Also it maintains a finite-sized archive of non-dominated solutions which gets iteratively updated in the presence of new solutions based on the concept of ε-dominance. Then, in the second stage, rough set theory is adopted as local search engine in order to improve the spread of the solutions found so far. The results, provided by the proposed algorithm for benchmark problems, are promising when compared with exiting well-known algorithms. Also, our results suggest that our algorithm is better applicable for solving real-world application problems (Economic Environmental Dispatch of Power Systems).

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Pr�sentation de l'�diteur

Biographie de l'auteur

Dr. Eng. Mohamed Abd Elsameea Hussein received the B.Sc. degree in Electrical Engineering and M.Sc. ,PhD. in Engineering Mathematics from Faculty of Engineering, Menoufiya University, Egypt. His current research interests include: Evolutionary Multiobjective Optimization,Genetic Algorithms, Rough Set and Numerical Optimization.

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�diteurLAP LAMBERT Academic Publishing
Date d'�dition2016
ISBN 10 3659846856
ISBN 13 9783659846854
ReliureBroch�
Langueanglais
Nombre de pages128
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Multiobjective Optimization Based on Rough Set Theory

Mohamed Abd Elsameea Hussein|Abd Allah A. Mousa|Ahmed A. Elsawy

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 3659846856 ISBN 13 : 9783659846854

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abd Elsameea Hussein MohamedDr. Eng. Mohamed Abd Elsameea Hussein received the B.Sc. degree in Electrical Engineering and M.Sc. ,PhD. in Engineering Mathematics from Faculty of Engineering, Menoufiya University, Egypt. His current re. N� de r�f. du vendeur 158124636

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Multiobjective Optimization Based on Rough Set Theory : Methodology and Application

Mohamed Abd Elsameea Hussein

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 3659846856 ISBN 13 : 9783659846854

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we present a new optimization algorithm, the proposed algorithm operates in two phases: in the first one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true Pareto front. This algorithm based on concept of co-evolution and repair algorithm for handling nonlinear constraints. Also it maintains a finite-sized archive of non-dominated solutions which gets iteratively updated in the presence of new solutions based on the concept of -dominance. Then, in the second stage, rough set theory is adopted as local search engine in order to improve the spread of the solutions found so far. The results, provided by the proposed algorithm for benchmark problems, are promising when compared with exiting well-known algorithms. Also, our results suggest that our algorithm is better applicable for solving real-world application problems (Economic Environmental Dispatch of Power Systems). N� de r�f. du vendeur 9783659846854

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Multiobjective Optimization Based on Rough Set Theory

Mohamed Abd Elsameea Hussein

Edit� par LAP LAMBERT Academic Publishing Feb 2016, 2016

ISBN 10 : 3659846856 ISBN 13 : 9783659846854

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book we present a new optimization algorithm, the proposed algorithm operates in two phases: in the first one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true Pareto front. This algorithm based on concept of co-evolution and repair algorithm for handling nonlinear constraints. Also it maintains a finite-sized archive of non-dominated solutions which gets iteratively updated in the presence of new solutions based on the concept of -dominance. Then, in the second stage, rough set theory is adopted as local search engine in order to improve the spread of the solutions found so far. The results, provided by the proposed algorithm for benchmark problems, are promising when compared with exiting well-known algorithms. Also, our results suggest that our algorithm is better applicable for solving real-world application problems (Economic Environmental Dispatch of Power Systems). 128 pp. Englisch. N� de r�f. du vendeur 9783659846854

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Multiobjective Optimization Based on Rough Set Theory

Mohamed Abd Elsameea Hussein

Edit� par LAP LAMBERT Academic Publishing Feb 2016, 2016

ISBN 10 : 3659846856 ISBN 13 : 9783659846854

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -In this book we present a new optimization algorithm, the proposed algorithm operates in two phases: in the first one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true Pareto front. This algorithm based on concept of co-evolution and repair algorithm for handling nonlinear constraints. Also it maintains a finite-sized archive of non-dominated solutions which gets iteratively updated in the presence of new solutions based on the concept of �-dominance. Then, in the second stage, rough set theory is adopted as local search engine in order to improve the spread of the solutions found so far. The results, provided by the proposed algorithm for benchmark problems, are promising when compared with exiting well-known algorithms. Also, our results suggest that our algorithm is better applicable for solving real-world application problems (Economic Environmental Dispatch of Power Systems).Books on Demand GmbH, �berseering 33, 22297 Hamburg 128 pp. Englisch. N� de r�f. du vendeur 9783659846854

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