Multiobjective Optimization Based on Rough Set Theory

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2016, 2016

3659846856 / 9783659846854

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This item is printed on demand - Print on Demand Titel. 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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

Seller Inventory # 9783659846854

Title
Multiobjective Optimization Based on Rough Set Theory
Author
Mohamed Abd Elsameea Hussein
Publisher
LAP LAMBERT Academic Publishing Feb 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659846856
ISBN 13
9783659846854
Item weight
209 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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