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- W1584431110 abstract "In this paper, a new algorithm, organizational evolutionary algorithm (OEA), is proposed to deal with both unconstrained and constrained optimization problems. In OEA, the evolutionary operations do not act on individuals directly, but on organization. Therefore, three evolutionary operators are designed for organizations. In experiments, OEA is tested on 3 unconstrained and 6 constrained benchmark problems, and compared with three recent algorithms. The results show that OEA outperforms the three other algorithms both in the quality of solution and the computational cost." @default.
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- W1584431110 date "2004-04-23" @default.
- W1584431110 modified "2023-09-27" @default.
- W1584431110 title "Numerical optimization using organizational evolutionary algorithm" @default.
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- W1584431110 doi "https://doi.org/10.1109/iccima.2003.1238139" @default.
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