Shrinkage of Real Power Loss by Enriched Brain Storm Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Brain Storm Optimization Algorithm
Human being is the most intelligent animal in this world. Intuitively, optimization algorithm inspired by human being creative problem solving process should be superior to the optimization algorithms inspired by collective behavior of insects like ants, bee, etc. In this paper, we introduce a novel brain storm optimization algorithm, which was inspired by the human brainstorming process. Two b...
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Through modeling human’s brainstorming process, the brain storm optimization (BSO) algorithm has become a promising population based evolution algorithm. However, BSO is often good at global exploration but not good enough at local exploitation, just like most global optimization algorithms. In this paper, the Nelder-Mead’s Simplex (NMS) method is adopted in a simple version of BSO. Our goal is...
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The convergence and divergence are two common phenomena in swarm intelligence. To obtain good search results, the algorithm should have a balance on convergence and divergence. The premature convergence happens partially due to the solutions getting clustered together, and not diverging again. The brain storm optimization (BSO), which is a young and promising algorithm in swarm intelligence, is...
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ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence (IJ-AI)
سال: 2019
ISSN: 2252-8938,2089-4872
DOI: 10.11591/ijai.v8.i1.pp1-6