Ant colony optimization /
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...
Main Author: | |
---|---|
Format: | |
Language: | eng |
Published: |
New Jersey, N.J. : Clanrye International,
2015
|
Subjects: |
_version_ | 1826459335631306752 |
---|---|
author | Pizzo, Julia, editor |
author_facet | Pizzo, Julia, editor |
author_sort | Pizzo, Julia, editor |
collection | OCEAN |
description | 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. |
first_indexed | 2024-03-05T14:04:56Z |
format | |
id | KOHA-OAI-TEST:511525 |
institution | Universiti Teknologi Malaysia - OCEAN |
language | eng |
last_indexed | 2024-03-05T14:04:56Z |
publishDate | 2015 |
publisher | New Jersey, N.J. : Clanrye International, |
record_format | dspace |
spelling | KOHA-OAI-TEST:5115252020-12-19T17:18:57ZAnt colony optimization / Pizzo, Julia, editor New Jersey, N.J. : Clanrye International,2015engAnt 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.Includes bibliographical referencesAnt 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.PSZJBLAnt algorithmsMathematical optimizationAlgorithmsURN:ISBN:9781632400611 |
spellingShingle | Ant algorithms Mathematical optimization Algorithms Pizzo, Julia, editor Ant colony optimization / |
title | Ant colony optimization / |
title_full | Ant colony optimization / |
title_fullStr | Ant colony optimization / |
title_full_unstemmed | Ant colony optimization / |
title_short | Ant colony optimization / |
title_sort | ant colony optimization |
topic | Ant algorithms Mathematical optimization Algorithms |
work_keys_str_mv | AT pizzojuliaeditor antcolonyoptimization |