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ScientificWorldJournal

Title:		Ant colony optimization algorithm for continuous domains based on position distribution model of ant colony foraging
Author(s):		Liu L; Dai Y; Gao J;
Address:		"College of Automation, Harbin Engineering University, 145 Nantong Street, Heilongjiang 150001, China. College of Science, Harbin Engineering University, 145 Nantong Street, Heilongjiang 150001, China"
Journal Title:		ScientificWorldJournal
Year:		2014
Volume:		20140511
Issue:
Page Number:		428539 -
DOI:		10.1155/2014/428539
ISSN/ISBN:		1537-744X (Electronic) 2356-6140 (Print) 1537-744X (Linking)
Abstract:		"Ant colony optimization algorithm for continuous domains is a major research direction for ant colony optimization algorithm. In this paper, we propose a distribution model of ant colony foraging, through analysis of the relationship between the position distribution and food source in the process of ant colony foraging. We design a continuous domain optimization algorithm based on the model and give the form of solution for the algorithm, the distribution model of pheromone, the update rules of ant colony position, and the processing method of constraint condition. Algorithm performance against a set of test trials was unconstrained optimization test functions and a set of optimization test functions, and test results of other algorithms are compared and analyzed to verify the correctness and effectiveness of the proposed algorithm"
Keywords:		"*Algorithms Animals Ants Behavior, Animal/physiology *Models, Theoretical Pheromones/metabolism;"
Notes:		"MedlineLiu, Liqiang Dai, Yuntao Gao, Jinyu eng Research Support, Non-U.S. Gov't 2014/06/24 ScientificWorldJournal. 2014; 2014:428539. doi: 10.1155/2014/428539. Epub 2014 May 11"