On Multi-objective Optimization Based on Ant Colony Optimization

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2014, 2014

3659553220 / 9783659553226

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This item is printed on demand - it takes 3-4 days longer - Neuware -Ant Colony Optimization (ACO) is a meta-heuristic algorithm which has been successfully applied to tackle various combinatorial optimization problems, but its ability to cope with multi-objective optimization problems is yet to be explored widely. Since most real-world search and optimization problems are naturally posed as non-linear programming problems having multi-objective problems. Therefore, the principal goal of this work aims to implement a specialized version of the ant colony optimization algorithm capable of finding a set of solutions for multi-objective optimization problems. Features relevant to ant colony optimization include a highly efficient form of best-path exploitation (pheromone detection), and a sensible mechanism for exploration (probabilistic path selection). The results demonstrate superiority of the proposed algorithm and confirm its potential to solve the multi-objective problems and engineering applications. 176 pp. Englisch.…

Title
On Multi-objective Optimization Based on Ant Colony Optimization
Author
Rizk Masoud Rizk Allah
Publisher
LAP LAMBERT Academic Publishing Jun 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659553220
ISBN 13
9783659553226
Item weight
280 grams
Dimensions
220x150x12 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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