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

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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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Authors and Affiliations

  1. School of Information Science and Engineering, Northeastern University, Shenyang, 110004, China

    Guang-hao Hu  (胡广浩), Zhi-zhong Mao  (毛志忠) & Da-kuo He  (何大阔)

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  1. Guang-hao Hu  (胡广浩)
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  2. Zhi-zhong Mao  (毛志忠)
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  3. Da-kuo He  (何大阔)
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Corresponding author

Correspondence to Guang-hao Hu  (胡广浩).

Additional information

Foundation item: Project(2006AA060201) supported by the National High Technology Research and Development Program of China

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Hu, Gh., Mao, Zz. & He, Dk. Multi-objective optimization for leaching process using improved two-stage guide PSO algorithm. J. Cent. South Univ. Technol. 18, 1200–1210 (2011). https://doi.org/10.1007/s11771-011-0823-2

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  • DOI: https://doi.org/10.1007/s11771-011-0823-2

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