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

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

 
9783659846854: Multiobjective Optimization Based on Rough Set Theory: Methodology and Application
Softcover
ISBN 10: 3659846856 ISBN 13: 9783659846854
Verlag: LAP LAMBERT Academic Publishing, 2016

Inhaltsangabe

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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Reseña del editor

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).

Biografía del autor

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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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3659846856
ISBN 13 
9783659846854
Einband
Tapa blanda
Anzahl der Seiten
128
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Verantwortliche Person
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