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Multiobjective Optimization Based on Rough Set Theory

Methodology and Application

Language EnglishEnglish
Book Paperback
Book Multiobjective Optimization Based on Rough Set Theory Mohamed Abd Elsameea Hussein
Libristo code: 02968475
Publishers LAP Lambert Academic Publishing, March 2016
In this book we present a new optimization algorithm, the proposed algorithm operates in two phases:... Full description
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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 _-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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About the book

Full name Multiobjective Optimization Based on Rough Set Theory
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 128
EAN 9783659846854
Libristo code 02968475
Weight 209
Dimensions 150 x 220 x 8
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