Bat algorithm applied to continuous constrained optimization problems
Many optimization techniques have been proposed for solving economic load and or emission dispatch problems in power generation plants. Among them, bio-inspired techniques have become popular due to their performance and simplicity. Bat Algorithm (BA) is one of the newer additions in the field altho...
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| Vydáno v: | Journal of information & optimization sciences Ročník 42; číslo 1; s. 57 - 75 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Taylor & Francis
02.01.2021
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| ISSN: | 0252-2667, 2169-0103 |
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| Abstract | Many optimization techniques have been proposed for solving economic load and or emission dispatch problems in power generation plants. Among them, bio-inspired techniques have become popular due to their performance and simplicity. Bat Algorithm (BA) is one of the newer additions in the field although it has been applied in a series of evaluation tests. The method is trying to replicate the echolocation behavior of bats with artificial ones. In this paper, we apply BA to the well-known problem of economic load dispatch, in different power demand scenarios. Its performance in terms of solution fitness is compared with other optimizations techniques proposed in the literature for the same scenarios. |
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| AbstractList | Many optimization techniques have been proposed for solving economic load and or emission dispatch problems in power generation plants. Among them, bio-inspired techniques have become popular due to their performance and simplicity. Bat Algorithm (BA) is one of the newer additions in the field although it has been applied in a series of evaluation tests. The method is trying to replicate the echolocation behavior of bats with artificial ones. In this paper, we apply BA to the well-known problem of economic load dispatch, in different power demand scenarios. Its performance in terms of solution fitness is compared with other optimizations techniques proposed in the literature for the same scenarios. |
| Author | Karakonstantis, Ioannis Vlachos, Aristidis |
| Author_xml | – sequence: 1 givenname: Ioannis surname: Karakonstantis fullname: Karakonstantis, Ioannis email: giannis@karakonstantis.gr organization: University of Piraeus – sequence: 2 givenname: Aristidis surname: Vlachos fullname: Vlachos, Aristidis organization: University of Piraeus |
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| Cites_doi | 10.1016/0360-8352(85)90019-1 10.1108/02644401211235834 10.1016/j.ijepes.2007.06.016 10.1504/IJCISTUDIES.2013.057637 10.1145/321062.321069 10.1080/09720529.2018.1449353 10.1049/ip-c.1993.0074 10.1007/978-3-642-12538-6_6 10.1109/TDCLA.2006.311397 10.1016/S0378-7796(99)00079-6 10.1109/59.387916 10.1063/1.3526203 10.1007/s00521-013-1498-4 10.1080/09720529.2018.1526765 |
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| SubjectTerms | 90-08 Computational methods for problems pertaining to operations research and mathematical programming Bat Algorithm Bio-inspired algorithms Continuous Optimization Economic Load Dispatch Problem |
| Title | Bat algorithm applied to continuous constrained optimization problems |
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