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IEEE Trans Syst Man Cybern B Cybern

Title:		SamACO: variable sampling ant colony optimization algorithm for continuous optimization
Author(s):		Hu XM; Zhang J; Chung HS; Li Y; Liu O;
Address:		"Department of Computer Science, Sun Yat-Sen University, Guangzhou 510275, China"
Journal Title:		IEEE Trans Syst Man Cybern B Cybern
Year:		2010
Volume:		20100405
Issue:		6
Page Number:		1555 - 1566
DOI:		10.1109/TSMCB.2010.2043094
ISSN/ISBN:		1941-0492 (Electronic) 1083-4419 (Linking)
Abstract:		"An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism. Although ACO is first designed for solving discrete (combinatorial) optimization problems, the ACO procedure is also applicable to continuous optimization. This paper presents a new way of extending ACO to solving continuous optimization problems by focusing on continuous variable sampling as a key to transforming ACO from discrete optimization to continuous optimization. The proposed SamACO algorithm consists of three major steps, i.e., the generation of candidate variable values for selection, the ants' solution construction, and the pheromone update process. The distinct characteristics of SamACO are the cooperation of a novel sampling method for discretizing the continuous search space and an efficient incremental solution construction method based on the sampled values. The performance of SamACO is tested using continuous numerical functions with unimodal and multimodal features. Compared with some state-of-the-art algorithms, including traditional ant-based algorithms and representative computational intelligence algorithms for continuous optimization, the performance of SamACO is seen competitive and promising"
Keywords:		"*Algorithms Animals Ants/*physiology *Artificial Intelligence Biomimetics/*methods Computer Simulation Feeding Behavior/*physiology *Models, Biological;"
Notes:		"MedlineHu, Xiao-Min Zhang, Jun Chung, Henry Shu-Hung Li, Yun Liu, Ou eng Research Support, Non-U.S. Gov't 2010/04/08 IEEE Trans Syst Man Cybern B Cybern. 2010 Dec; 40(6):1555-66. doi: 10.1109/TSMCB.2010.2043094. Epub 2010 Apr 5"