Ant Colony Optimization Approach To Communications Network Design

Ant Colony Optimization Approach To Communications Network Design

Ant Colony Optimization (ACO) is a metaheuristic approach for solving hard combinatorial optimization problems. The pheromone trails in ACO serve as distributed, numerical information, which the ants use to probabilistically construct solutions to the problem being solved, and which the ants adapt d...

Full description

Saved in:
Bibliographic Details
Main Author: Bau, Yoon Teck
Format: Thesis
Published: 2007
Subjects:
TK5101-6720 Telecommunication
Including telegraphy, telephone, radio, radar, television
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-mmu-ep.1233
record_format uketd_dc
spelling my-mmu-ep.12332021-09-21T07:32:24Z Ant Colony Optimization Approach To Communications Network Design 2007-07 Bau, Yoon Teck TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Ant Colony Optimization (ACO) is a metaheuristic approach for solving hard combinatorial optimization problems. The pheromone trails in ACO serve as distributed, numerical information, which the ants use to probabilistically construct solutions to the problem being solved, and which the ants adapt during the algorithm's execution to reflect their search experience. 2007-07 Thesis http://shdl.mmu.edu.my/1233/ https://proxyvlib.mmu.edu.my/login?url=http://library.mmu.edu.my/library2/diglib/mmuetd/ masters Multimedia University Faculty of Computing and Informatics
institution Multimedia University
collection MMU Institutional Repository
topic TK5101-6720 Telecommunication
Including telegraphy, telephone, radio, radar, television
spellingShingle TK5101-6720 Telecommunication
Including telegraphy, telephone, radio, radar, television
Bau, Yoon Teck
Ant Colony Optimization Approach To Communications Network Design
description Ant Colony Optimization (ACO) is a metaheuristic approach for solving hard combinatorial optimization problems. The pheromone trails in ACO serve as distributed, numerical information, which the ants use to probabilistically construct solutions to the problem being solved, and which the ants adapt during the algorithm's execution to reflect their search experience.
format Thesis
qualification_level Master's degree
author Bau, Yoon Teck
author_facet Bau, Yoon Teck
author_sort Bau, Yoon Teck
title Ant Colony Optimization Approach To Communications Network Design
title_short Ant Colony Optimization Approach To Communications Network Design
title_full Ant Colony Optimization Approach To Communications Network Design
title_fullStr Ant Colony Optimization Approach To Communications Network Design
title_full_unstemmed Ant Colony Optimization Approach To Communications Network Design
title_sort ant colony optimization approach to communications network design
granting_institution Multimedia University
granting_department Faculty of Computing and Informatics
publishDate 2007
_version_ 1776101409124515840

Similar Items