CAJ | 학술논문

为了求解针铁矿法沉铁过程的多目标协调优化模型,从提高全局寻优能力和解的精度出发,提出一种基于改进全局搜索量子进化算法和局部搜索差分进化算法的双种群协同进化算法.数值仿真验证了该进化算法具有较好的收敛性和求解精度;典型工况的仿真优化结果表明了该多目标协调优化模型指导实际生产的可行性,以及所提出算法的有效性.
위료구해침철광법침철과정적다목표협조우화모형,종제고전국심우능력화해적정도출발,제출일충기우개진전국수색양자진화산법화국부수색차분진화산법적쌍충군협동진화산법.수치방진험증료해진화산법구유교호적수렴성화구해정도;전형공황적방진우화결과표명료해다목표협조우화모형지도실제생산적가행성,이급소제출산법적유효성.
@@@@In order to solve the multi-objective coordination optimization model of iron precipitation by the goethite process, and improve the ability of global optimization and the accuracy of the reconciliation, a double population co-evolution algorithm is proposed, which is composed of improved global searching quantum evolution algorithm based on the sharing function and partial searching difference evolution algorithm based on the individual similarity. Through numerical simulations, it is proved that the evolutionary algorithm has better convergence and solution accuracy. The simulation results of typical operating condition show that the multi-objective coordinated optimization model can guide the actual production feasibly, and the proposed algorithm can solve the model effectively.