A double population co-evolution algorithm for process of zinc hydrometallurgy

作者：Xiong, Fu-Qiang; Gui, Wei-Hua; Yang, Chun-Hua; Li, Yong-Gang^*

来源：Control and Decision, 2013, 28(4): 590-594.

• Co-evolution
• Coevolution algorithms
• Cooperative optimization
• Coordinated optimization
• Coordination optimization
• Quantum evolution algorithms
• Typical operating conditions
• Zinc hydrometallurgy

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 coevolution 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.

• 出版日期2013-4
• 单位中南大学