A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.

Colony Optimization (ACO) is a metaheuristic that inspired by the behaviour of real ant colonies and can be considered as a one of recent metaheuristic approach that has been proposed. In this paper, we review the approach by ACO metaheuristic in resolving three the combinatorial optimization probl...

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Main Authors: Sallim, Jamaludin, Wan Hussin, Wan Muhammad Syahrir, Abdullah, Rosni, Abdul Khader, Ahamad Tajudin
Format: Conference or Workshop Item
Language:en
Published: 2007
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Online Access:http://eprints.usm.my/9368/1/A_Background_Study_on_Ant_Colony_Optimization_Metaheuristic_and_its_Application_Principles_in_Resolving_Three_Combinatorial_Optimization_Problems.pdf
http://eprints.usm.my/9368/
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_version_ 1834437017818103808
author Sallim, Jamaludin
Wan Hussin, Wan Muhammad Syahrir
Abdullah, Rosni
Abdul Khader, Ahamad Tajudin
author_facet Sallim, Jamaludin
Wan Hussin, Wan Muhammad Syahrir
Abdullah, Rosni
Abdul Khader, Ahamad Tajudin
author_sort Sallim, Jamaludin
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
description Colony Optimization (ACO) is a metaheuristic that inspired by the behaviour of real ant colonies and can be considered as a one of recent metaheuristic approach that has been proposed. In this paper, we review the approach by ACO metaheuristic in resolving three the combinatorial optimization problems (COPs).
format Conference or Workshop Item
id my.usm.eprints.9368
institution Universiti Sains Malaysia
language en
publishDate 2007
record_format eprints
spelling my.usm.eprints.9368 http://eprints.usm.my/9368/ A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem. Sallim, Jamaludin Wan Hussin, Wan Muhammad Syahrir Abdullah, Rosni Abdul Khader, Ahamad Tajudin QA75.5-76.95 Electronic computers. Computer science Colony Optimization (ACO) is a metaheuristic that inspired by the behaviour of real ant colonies and can be considered as a one of recent metaheuristic approach that has been proposed. In this paper, we review the approach by ACO metaheuristic in resolving three the combinatorial optimization problems (COPs). 2007-08 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/9368/1/A_Background_Study_on_Ant_Colony_Optimization_Metaheuristic_and_its_Application_Principles_in_Resolving_Three_Combinatorial_Optimization_Problems.pdf Sallim, Jamaludin and Wan Hussin, Wan Muhammad Syahrir and Abdullah, Rosni and Abdul Khader, Ahamad Tajudin (2007) A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem. In: National Conference on Software Engineering and Computer System 2007 (NacSes 07), 20-21 August 2007, Legend Resort, Cherating,Kuantan,Pahang.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Sallim, Jamaludin
Wan Hussin, Wan Muhammad Syahrir
Abdullah, Rosni
Abdul Khader, Ahamad Tajudin
A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
title A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
title_full A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
title_fullStr A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
title_full_unstemmed A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
title_short A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
title_sort background study on ant colony optimization metaheuristic and its application principles in resolving three combinatorial optimization problem.
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/9368/1/A_Background_Study_on_Ant_Colony_Optimization_Metaheuristic_and_its_Application_Principles_in_Resolving_Three_Combinatorial_Optimization_Problems.pdf
http://eprints.usm.my/9368/
url_provider http://eprints.usm.my/