SamACO : variable sampling ant colony optimization algorithm for continuous optimization
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 discret...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 40(2010), 6 vom: 14. Dez., Seite 1555-66
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| 1. Verfasser: |
Hu, Xiao-Min
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Jun,
Chung, Henry Shu-Hung,
Li, Yun,
Liu, Ou |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2010
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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