An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems
Population-based optimization algorithms are useful tools in solving engineering problems. This paper presents an elitist transposon quantum-based particle swarm algorithm to solve economic dispatch (ED) problems. It is a complex and highly nonlinear constrained optimization problem. The proposed ap...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/7276585 |
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| _version_ | 1832546222895792128 |
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| author | Angus Wu Zhen-Lun Yang |
| author_facet | Angus Wu Zhen-Lun Yang |
| author_sort | Angus Wu |
| collection | DOAJ |
| description | Population-based optimization algorithms are useful tools in solving engineering problems. This paper presents an elitist transposon quantum-based particle swarm algorithm to solve economic dispatch (ED) problems. It is a complex and highly nonlinear constrained optimization problem. The proposed approach, double elitist breeding quantum-based particle swarm optimization (DEB-QPSO), makes use of two elitist breeding strategies to promote the diversity of the swarm so as to enhance the global search ability and an improved efficient heuristic handling technique to manage the equality and inequality constraints of ED problems. Investigating on 15-unit, 40-unit, and 140-unit widely used test systems, through performance comparison, the proposed DEB-QPSO algorithm is able to obtain higher-quality solutions efficiently and stably superior than the other the state-of-the-art algorithms. |
| format | Article |
| id | doaj-art-d1b8c1c32a3a4fe58051a6c8fcd9367a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d1b8c1c32a3a4fe58051a6c8fcd9367a2025-02-03T07:23:34ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/72765857276585An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch ProblemsAngus Wu0Zhen-Lun Yang1Department of Electronic Engineering, City University of Hong Kong, Tat Chee Ave, Kowloon Tong, Hong KongSchool of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou 511483, ChinaPopulation-based optimization algorithms are useful tools in solving engineering problems. This paper presents an elitist transposon quantum-based particle swarm algorithm to solve economic dispatch (ED) problems. It is a complex and highly nonlinear constrained optimization problem. The proposed approach, double elitist breeding quantum-based particle swarm optimization (DEB-QPSO), makes use of two elitist breeding strategies to promote the diversity of the swarm so as to enhance the global search ability and an improved efficient heuristic handling technique to manage the equality and inequality constraints of ED problems. Investigating on 15-unit, 40-unit, and 140-unit widely used test systems, through performance comparison, the proposed DEB-QPSO algorithm is able to obtain higher-quality solutions efficiently and stably superior than the other the state-of-the-art algorithms.http://dx.doi.org/10.1155/2018/7276585 |
| spellingShingle | Angus Wu Zhen-Lun Yang An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems Complexity |
| title | An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems |
| title_full | An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems |
| title_fullStr | An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems |
| title_full_unstemmed | An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems |
| title_short | An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems |
| title_sort | elitist transposon quantum based particle swarm optimization algorithm for economic dispatch problems |
| url | http://dx.doi.org/10.1155/2018/7276585 |
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