Solving economic dispatch problem with valve-point effects using swarm-based mean–variance mapping optimization (MVMOS)
نویسندگان
چکیده
منابع مشابه
Solving Economic Dispatch By Using Swarm Based Mean-Variance Mapping Optimization (MVMOS)
This paper proposes a novel optimization which named as Swarm based Mean-variance mapping optimization (MVMOS) for solving the economic dispatch. The proposed optimization algorithm is the extension of the original single particle mean-variance mapping optimization (MVMO). The novel feature is the special mapping function applied for the mutation base on the mean and variance of n-best populati...
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Particle Swarm Optimization (PSO) is a swarm intelligence optimization method inspired from birds’ flocking or fish schooling. Many improved versions of PSO are reported in literature, including some by the authors. Original as well as improved versions of PSO have proven their applicability to various fields like science, engineering and industries. Economic dispatch (ED) problem is one of the...
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This paper proposes an improved approach based on conventional particle swarm optimization (PSO) for solving an economic dispatch(ED) problem with considering the generator constraints. The mutation operators of the differential evolution (DE) are used for improving diversity exploration of PSO, which called particle swarm optimization with mutation operators (PSOM). The mutation operators are ...
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ژورنال
عنوان ژورنال: Cogent Engineering
سال: 2015
ISSN: 2331-1916
DOI: 10.1080/23311916.2015.1076983