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- W2023668448 abstract "In this paper, a differential clonal selection algorithm (DCSA) combined with an adaptive penalty function method is proposed for solving constrained optimization problems. In order to improve the diversity of the solution, a minority part of the antibodies located in sparse region are selected to do proportional cloning according to their minimum neighbor distance values. Comparison is made to four state-of-the-art algorithms in solving eleven well-known standard test problems. Simulation results show that DCSA performs better or similarly than the four approaches." @default.
- W2023668448 created "2016-06-24" @default.
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- W2023668448 date "2011-08-01" @default.
- W2023668448 modified "2023-09-27" @default.
- W2023668448 title "Differential clonal selection algorithm for solving constrained optimization problems" @default.
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- W2023668448 doi "https://doi.org/10.1109/emeit.2011.6024060" @default.
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