Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation
This paper presents a novel fuzzy particle swarm optimization with cross-mutated operation (FPSOCM), where a fuzzy logic is applied to determine the inertia weight of PSO and the control parameter of the proposed cross-mutated operation based on human knowledge. By introducing the fuzzy system, the...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/35908 |
| _version_ | 1848754622782504960 |
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| author | Ling, S. Nguye, H. Leung, F. Chan, Kit Yan Jiang, F. |
| author2 | IEEE |
| author_facet | IEEE Ling, S. Nguye, H. Leung, F. Chan, Kit Yan Jiang, F. |
| author_sort | Ling, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a novel fuzzy particle swarm optimization with cross-mutated operation (FPSOCM), where a fuzzy logic is applied to determine the inertia weight of PSO and the control parameter of the proposed cross-mutated operation based on human knowledge. By introducing the fuzzy system, the value of the inertia weight of PSO becomes adaptive. The new cross-mutated operation effectively drives the solution to escape from local optima. To illustrate the performance of the FPSOCM, a suite of benchmark test functions are employed. Experimental results show the proposed FPSOCM method performs better than some existing hybrid PSO methods in terms of solution quality and solution reliability (standard deviation upon many trials).Moreover, an industrial application of economic load dispatch is given to show that the FPSOCM method performs statistically more significant than the existing hybrid PSO methods. |
| first_indexed | 2025-11-14T08:43:21Z |
| format | Conference Paper |
| id | curtin-20.500.11937-35908 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:43:21Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-359082018-03-29T09:08:51Z Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation Ling, S. Nguye, H. Leung, F. Chan, Kit Yan Jiang, F. IEEE Fuzzy logic Inertia weight Cross-mutated operation Particle swarm optimization Economic load dispatch This paper presents a novel fuzzy particle swarm optimization with cross-mutated operation (FPSOCM), where a fuzzy logic is applied to determine the inertia weight of PSO and the control parameter of the proposed cross-mutated operation based on human knowledge. By introducing the fuzzy system, the value of the inertia weight of PSO becomes adaptive. The new cross-mutated operation effectively drives the solution to escape from local optima. To illustrate the performance of the FPSOCM, a suite of benchmark test functions are employed. Experimental results show the proposed FPSOCM method performs better than some existing hybrid PSO methods in terms of solution quality and solution reliability (standard deviation upon many trials).Moreover, an industrial application of economic load dispatch is given to show that the FPSOCM method performs statistically more significant than the existing hybrid PSO methods. 2012 Conference Paper http://hdl.handle.net/20.500.11937/35908 10.1109/CEC.2012.6252934 IEEE restricted |
| spellingShingle | Fuzzy logic Inertia weight Cross-mutated operation Particle swarm optimization Economic load dispatch Ling, S. Nguye, H. Leung, F. Chan, Kit Yan Jiang, F. Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation |
| title | Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation |
| title_full | Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation |
| title_fullStr | Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation |
| title_full_unstemmed | Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation |
| title_short | Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation |
| title_sort | intelligent fuzzy particle swarm optimization with cross-mutated operation |
| topic | Fuzzy logic Inertia weight Cross-mutated operation Particle swarm optimization Economic load dispatch |
| url | http://hdl.handle.net/20.500.11937/35908 |