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提出一种基于混合策略的双种群约束优化算法.利用双种群存储机制处理约束条件,并采用约束支配更新不可行解集,同时采用混合策略进化种群:在进化前期利用Deb准则产生可行解,并保留一部分非劣不可行解参与进化,保持种群多样性;在进化后期让最优个体和次优个体参与进化,使种群快速收敛.仿真实验结果表明,所提出的算法在保证种群多样性的同时,能够较好地收敛到全局最优解,且鲁棒性较好.
A two-species constrained optimization algorithm based on hybrid strategy is proposed.Double-population storage mechanism is used to deal with the constraints and the constraint is used to update the infeasible solution sets, while the mixed strategy is used to evolve the population: the Deb criterion is used to generate feasible solutions in the early stage of evolution Keep some non-inferior and infeasible solutions in evolution and keep the diversity of the population, let the best individuals and the suboptimal individuals evolve and make the population converge rapidly in the late evolutionary stage.The simulation results show that the proposed algorithm, while ensuring the diversity of the population , Can better converge to the global optimal solution, and the robustness is better.