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  1. Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization.Weiqin Ying, Bin Wu, Yu Wu, Yali Deng, Hainan Huang & Zhenyu Wang - 2019 - Complexity 2019:1-18.
    The constraint-handling methods using multiobjective techniques in evolutionary algorithms have drawn increasing attention from researchers. This paper proposes an efficient conical area differential evolution algorithm, which employs biased decomposition and dual populations for constrained optimization by borrowing the idea of cone decomposition for multiobjective optimization. In this approach, a conical subpopulation and a feasible subpopulation are designed to search for the global feasible optimum, along the Pareto front and the feasible segment, respectively, in a cooperative way. In particular, the conical (...)
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