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

来源期刊:中南大学学报(英文版)2011年第4期

论文作者:胡广浩 毛志忠 何大阔

文章页码:1200 - 1210

Key words:leaching process; modeling; multi-objective optimization; two-stage guide; experiment

Abstract:

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.

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