Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging

Joint Authors

Dai, Yuntao
Gao, Jinyu
Liu, Li-Qiang

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-11

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Liu, Li-Qiang& Dai, Yuntao& Gao, Jinyu. 2014. Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049599

Modern Language Association (MLA)

Liu, Li-Qiang…[et al.]. Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049599

American Medical Association (AMA)

Liu, Li-Qiang& Dai, Yuntao& Gao, Jinyu. Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049599

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1049599