nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduced a hybrid optimization algorithm that integrates the merits of the ant colony optimization (ACO) and firefly algorithm (FA) that used to solve optimization problems. The methodology of the book is mainly focused on the original principle behind each of the two algorithms and their applications are discussed. Also we introduced new trend for hybridizing the ant colony optimization and the firefly algorithm to solve unconstrained optimization problems, constrained optimization problems and multi-objective optimization problems.

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Bibliographic Details

Title: On Multi-Objective Optimization Based on Hybrid Intelligent System : Hybridizing the Firefly Algorithm and the Ant Colony Algorithm to Solve Optimization Problems
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2014
Language: English
ISBN 10: 3659551821
ISBN 13: 9783659551826
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 11 millimeters depth
Weight: 286 grams

About this title

Synopsis

This book introduced a hybrid optimization algorithm that integrates the merits of the ant colony optimization (ACO) and firefly algorithm (FA) that used to solve optimization problems. The methodology of the book is mainly focused on the original principle behind each of the two algorithms and their applications are discussed. Also we introduced new trend for hybridizing the ant colony optimization and the firefly algorithm to solve unconstrained optimization problems, constrained optimization problems and multi-objective optimization problems.

About the Author

I am Rizk Masoud Rizk-Allah, I have obtained my Ph.D in Engineering Mathematics from Faculty of Engineering Menoufia University, Egypt. I have been in the Basic Engineering Sciences Department, since 2005. I am interested in artificial intelligence techniques, evolutionary algorithms and swarm optimization.

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