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- W2139541752 abstract "This paper introduces a genetic fuzzy system to control short and long term memory of tabu search algorithms. The genetic fuzzy system involves learning of the knowledge base and a rule selection procedure. The aim is to trade-off exploration and exploitation behavior of the search, and to handle high dimensional optimization problems. The genetic fuzzy system approach introduces a high level of autonomy in tabu search algorithms in a systematic and efficient way. An application example using the classic vehicle routing problem with time windows is included to evaluate the genetic fuzzy system performance. Experimental results show that GFS-controlled tabu search improves search trajectory when compared against current genetic and tabu search approaches." @default.
- W2139541752 created "2016-06-24" @default.
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- W2139541752 date "2010-07-01" @default.
- W2139541752 modified "2023-10-02" @default.
- W2139541752 title "Memory control of tabu search with genetic fuzzy systems" @default.
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- W2139541752 doi "https://doi.org/10.1109/fuzzy.2010.5584054" @default.
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