Ant colony optimization algorithm for continuous domains based on position distribution model of ant colony foraging.
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 o...
| Publicado en: | Scientific World Journal pp. 428539 - 428540 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103830465&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103830465 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103830465 NLM24955402 2012628212 10.1155/2014/428539 NLM24955402 PMC4037618 103830465 ppf: 428539 ppct: 1 formats: tig: atl: Ant colony optimization algorithm for continuous domains based on position distribution model of ant colony foraging. aug: au: Liu, Liqiang Dai, Yuntao Gao, Jinyu affil: College of Automation, Harbin Engineering University, 145 Nantong Street, Heilongjiang 150001, China. sug: subj: Algorithms Models, Theoretical Animal Studies Behavior, Animal Biological Factors Metabolism Insects ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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