Paper Title:
Continuous Ant Colony Algorithm
  Abstract

Ant Colony Algorithm is a new bionics optimization algorithm from mimic the swarm intelligence of ant colony behavior. And it is a very good combination optimization method. To extend the ant colony algorithm, and to improve the searching performance, from the connections of continuous optimization and searching process of ant colony algorithm, one new Continuous Ant Colony Algorithm is proposed. To verify the new algorithm, the typical functions, such as Schaffer function and “Needle-in-a-haystack” function, are all used. And then, the results of new algorithm are compared with that of immunized evolutionary programming proposed by author.

  Info
Periodical
Advanced Materials Research (Volumes 308-310)
Chapter
Intelligent Optimization Design
Edited by
Jian Gao
Pages
1008-1011
DOI
10.4028/www.scientific.net/AMR.308-310.1008
Citation
W. Gao, "Continuous Ant Colony Algorithm", Advanced Materials Research, Vols. 308-310, pp. 1008-1011, 2011
Online since
August 2011
Authors
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Price
$32.00
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