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Multiobjective Optimization Based on Rough Set Theory

Name: Multiobjective Optimization Based on Rough Set Theory
Brand: LAP Lambert Academic Publishing
SKU: 02968475
Price: 51.19 EUR
Availability: InStock
Author: Mohamed Abd Elsameea Hussein
ISBN: 9783659846854

Methodology and Application

Mohamed Abd Elsameea Hussein

Abd Allah A. Mousa

Ahmed A. Elsawy

Language

English

Book Paperback

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

Libristo code: 02968475

125 b

51.19 € VAT included

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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).