Multi-objective optimization for leaching process using improved two-stage guide PSO algorithm

• Published in: Journal of Central South University of Technology. Science & technology of mining and metallurgy Vol. 18; no. 4; pp. 1200 - 1210
• Main Authors: Hu, Guang-hao, Mao, Zhi-zhong, He, Da-kuo
• Format: Journal Article
• Language: English
• Published: Heidelberg Central South University 01.08.2011
• Subjects: Engineering; Metallic Materials; modeling; multi-objective optimization; experiment; leaching process; two-stage guide
• ISSN: 1005-9784; 1993-0666
• DOI: 10.1007/s11771-011-0823-2

A mathematical mechanism model was proposed for the description and analysis of the heat-stirring-acid leaching process. The model is proved to be effective by experiment. Afterwards, the leaching problem was formulated as a constrained multi-objective optimization problem based on the mechanism model. A two-stage guide multi-objective particle swarm optimization (TSG-MOPSO) algorithm was proposed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity of pareto-optimal front set as well. Computational experiment was conducted to compare the solution by the proposed algorithm with SIGMA-MOPSO by solving the model and with the manual solution in practice. The results indicate that the proposed algorithm shows better performance than SIGMA-MOPSO, and can improve the current manual solutions significantly. The improvements of production time and economic benefit compared with manual solutions are 10.5% and 7.3%, respectively.