GACO - A HYBRID ANT COLONY OPTIMIZATION METAHEURISTIC FOR THE DYNAMIC LOAD-BALANCED CLUSTERING PROBLEM IN AD HOC NETWORKS

We present the design of a novel hybrid genetic ant colony optimization (GACO) metaheuristic. Genetic ant colony optimization is designed to address the dynamic load-balanced clustering problem formulated from ad hoc networks. The main algorithm in GACO is ACO. Whenever an environment change occurs...

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Bibliographic Details

Published in:	Applied artificial intelligence Vol. 23; no. 7; pp. 570 - 598
Main Authors:	Ho, Chin Kuan, Ewe, Hong Tat
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis Group 31.07.2009 Taylor & Francis Ltd
Subjects:	Artificial intelligence Genetic algorithms Heuristic Optimization algorithms
ISSN:	0883-9514, 1087-6545
Online Access:	Get full text
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