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- W2035818 abstract "In this work, we propose a method for finding as many as possible, hopefully all, solutions of the global optimization problem. For this purpose, we hybridize an evolutionary search algorithm with a fitness function modification procedure. Moreover, to make the method more effective, we employ some local search method and a special procedure to detect unpromising trial solutions. Numerical results for some well-known global optimization test problems show the method works well in practice." @default.
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- W2035818 date "2010-01-01" @default.
- W2035818 modified "2023-09-24" @default.
- W2035818 title "A Hybrid Evolutionary Algorithm for Global Optimization" @default.
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- W2035818 doi "https://doi.org/10.1007/978-0-387-89496-6_9" @default.
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