Hybrid particle swarm optimization with a modified arithmetical crossover for solving unconstrained optimization problems
Ahmed F. Ali (Department of Computer Science, Faculty of Computers & Informatics, Suez Canal University, Ismailia, Egypt, Department of Mathematics and Statistics, Faculty of Science, Thompson Rivers University, Kamloops, BC, Canada), Mohamed A. Tawhid (Department of Mathematics and Statistics, Faculty of Science, Thompson Rivers University, Kamloops, BC, Canada, Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Moharram Bey, Alexandria, Egypt)
| Year of publication: |
August 2015
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| Authors: | Ali, Ahmed F. ; Tawhid, Mohamed A. |
| Published in: |
INFOR : information systems and operational research. - Ottawa : INFOR Journal, ISSN 0315-5986, ZDB-ID 121260-6. - Vol. 53.2015, 3, p. 125-141
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| Subject: | Particle swarm optimization | arithmetical crossover | unconstrained optimization problems | global optimization | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Algorithmus | Algorithm |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.3138/infor.53.3.125 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011494633