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On Multi-objective Optimization Based on Ant Colony Optimization: Developing an Ant Colony Optimization Algorithm for Engineering Applications - Rizk Masoud Rizk Allah,Abd Allah A. Mousa

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2014-06-13
67,74 € 112,90 €

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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 prin ... Täielik kirjeldus

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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.

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Autor Rizk Masoud Rizk Allah, Abd Allah A. Mousa
Kirjastaja LAP LAMBERT Academic Publishing
Väljalaskeaasta 2014
Kaanetüüp Pehme kaanega
EAN 9783659553226
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Te vaatate: On Multi-objective Optimization Based on Ant Colony Optimization: Developing an Ant Colony Optimization Algorithm for Engineering Applications
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67,74 € 112,90 €