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Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework

Interacted Multiple Ant Colonies Optimization (IMACO) is a newly proposed framework. Pheromone evaluation mechanism is playing a central role in this framework. This paper describes the newly proposed IMACO framework and proposes a more effective pheromone evaluation mechanism. Computational tests s...

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Main Authors: A., Aljanaby,, K.R., Ku-Mahamud,, N.Md., Norwawi,
Format: Conference Paper
Language:en_US
Published: 2015
Subjects:
Ant colony optimization
Combinatorial optimization problems
Pheromone evaluation
Search stagnation
Online Access:http://ddms.usim.edu.my/handle/123456789/9236
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spelling my.usim-92362015-08-26T03:36:26Z Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework A., Aljanaby, K.R., Ku-Mahamud, N.Md., Norwawi, Ant colony optimization Combinatorial optimization problems Pheromone evaluation Search stagnation Interacted Multiple Ant Colonies Optimization (IMACO) is a newly proposed framework. Pheromone evaluation mechanism is playing a central role in this framework. This paper describes the newly proposed IMACO framework and proposes a more effective pheromone evaluation mechanism. Computational tests show that the new pheromone evaluation mechanism can furthermore improve the IMACO performance. These tests also show the capability of IMACO to outperform other well known ant algorithms like ant colony system and max-min ant system. 2015-08-26T03:36:26Z 2015-08-26T03:36:26Z 2010 Conference Paper 9780-8898-6818-2 http://ddms.usim.edu.my/handle/123456789/9236 en_US
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic Ant colony optimization
Combinatorial optimization problems
Pheromone evaluation
Search stagnation
spellingShingle Ant colony optimization
Combinatorial optimization problems
Pheromone evaluation
Search stagnation
A., Aljanaby,
K.R., Ku-Mahamud,
N.Md., Norwawi,
Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
description Interacted Multiple Ant Colonies Optimization (IMACO) is a newly proposed framework. Pheromone evaluation mechanism is playing a central role in this framework. This paper describes the newly proposed IMACO framework and proposes a more effective pheromone evaluation mechanism. Computational tests show that the new pheromone evaluation mechanism can furthermore improve the IMACO performance. These tests also show the capability of IMACO to outperform other well known ant algorithms like ant colony system and max-min ant system.
format Conference Paper
author A., Aljanaby,
K.R., Ku-Mahamud,
N.Md., Norwawi,
author_facet A., Aljanaby,
K.R., Ku-Mahamud,
N.Md., Norwawi,
author_sort A., Aljanaby,
title Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
title_short Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
title_full Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
title_fullStr Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
title_full_unstemmed Revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
title_sort revisiting the pheromone evaluation mechanism in the interacted multiple ant colonies optimization framework
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/9236
_version_ 1645152569326043136
score 13.222552

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