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- W2135855069 abstract "The multi-modal function optimization is an important problem with a wide-ranging application. In order to find out all optimal solutions and local optimal solutions as many as possible, an adaptive immune-based optimization algorithm is proposed based on analyzing the characteristics and disadvantages of clonal selection algorithm, and combining memory cells producing, network suppression and valley searching method. Testing typical multi-modal functions show this algorithm not only has the less computational efforts and the better search capability, but also can realize adaptive searching without any transcendental presumptions." @default.
- W2135855069 created "2016-06-24" @default.
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- W2135855069 date "2008-01-01" @default.
- W2135855069 modified "2023-10-05" @default.
- W2135855069 title "A novel adaptive immune-based multi-modal function optimization algorithm" @default.
- W2135855069 cites W2094918307 @default.
- W2135855069 doi "https://doi.org/10.1109/wcica.2008.4594301" @default.
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