Multiobjective environmental adaptation method for solving environmental/economic dispatch problem
| Autor: | Krishn Kumar Mishra, Tribhuvan Singh, Ranvijay |
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| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Optimization problem Computer science 020209 energy Cognitive Neuroscience Economic dispatch Evolutionary algorithm Environmental adaptation 02 engineering and technology Permutation Electric power system Single objective Mathematics (miscellaneous) Conflicting objectives Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition |
| Zdroj: | Evolutionary Intelligence. 12:305-319 |
| ISSN: | 1864-5917 1864-5909 |
| DOI: | 10.1007/s12065-019-00232-7 |
| Popis: | Environmental adaptation method is one of the evolutionary algorithms for solving single objective optimization problems. Although the algorithm converges very fast and produces diversified solutions, there are three weaknesses in it. In this paper, first we have given the solutions to resolve these weaknesses and then we have extended the modified method to deal with multiple conflicting objectives simultaneously. A permutation-based multiobjective environmental adaptation method (pMOEAM) has been suggested to solve the environmental/economic dispatch (EED) problem of the power system. In this paper, total generation cost and environmental emission have been taken as two objectives that need to be minimized simultaneously while meeting the load demand under equality and inequality constraints. Three test systems are considered to evaluate the performance of the proposed algorithm. The performance of the suggested algorithm is compared against five multiobjective algorithms. Extensive experimental results demonstrated that the pMOEAM method can obtain effective and feasible solutions for EED problem. |
| Databáze: | OpenAIRE |
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