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- W3020340069 abstract "Spherical evolution is a recently proposed nature-inspired meta-heuristic algorithm which is proven to have nontrivial efficiency and effectiveness in solving complex optimization problems. However, it has some limitations caused by its inherent scale factor and dimension factor. Hypercube search and chaotic local search are two kinds of effective search mechanisms. To construct an algorithm which has better exploration and exploitation abilities, we propose a novel algorithm which contains triple distinct search dynamics (TDSD), i.e., spherical search, hypercube search and chaotic local search. Effective control among them enhances search performance of TDSD. It is verified on thirty CEC2017 benchmark functions and three real-world optimization problems." @default.
- W3020340069 created "2020-05-01" @default.
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- W3020340069 date "2020-01-01" @default.
- W3020340069 modified "2023-10-13" @default.
- W3020340069 title "TDSD: A New Evolutionary Algorithm Based on Triple Distinct Search Dynamics" @default.
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- W3020340069 doi "https://doi.org/10.1109/access.2020.2989029" @default.
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