Ant Colony Optimization

Julia Pizzo

ISBN 10: 1632400618 / ISBN 13: 9781632400611

Published by ML Books International - IPS, 2015

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Ant Colony Optimization (ACO) is the best example of how studies intended at understanding and modeling the behavior of ants and other social insects can inspire the development of computational algorithms for the solution of tough mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced an enormous growth, reaching a position of an essential nature-inspired stochastic metaheuristic for optimization of critical problems. This book offers state-of-the-art ACO methods and covers various techniques, comprising of parallel implementations and applications, where current investments of ACO to varied areas, like traffic clog and discipline, structural optimization, manufacturing, and genomics have been demonstrated.

Seller Inventory # 9781632400611

Bibliographic Details

• Title: Ant Colony Optimization
• Publisher: ML Books International - IPS
• Publication Date: 2015
• Language: English
• ISBN 10: 1632400618
• ISBN 13: 9781632400611
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 16D millimeters 235 millimeters width by 157 millimeters height by 16 millimeters depth
• Weight: 465 grams

About this title

Synopsis

Ant Colony Optimization (ACO) is the best example of how studies intended at understanding and modeling the behavior of ants and other social insects can inspire the development of computational algorithms for the solution of tough mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced an enormous growth, reaching a position of an essential nature-inspired stochastic metaheuristic for optimization of critical problems. This book offers state-of-the-art ACO methods and covers various techniques, comprising of parallel implementations and applications, where current investments of ACO to varied areas, like traffic clog and discipline, structural optimization, manufacturing, and genomics have been demonstrated.