Optimization based on particle swarm algorithm for leaching rate ofgold hydrometallurgy process

YUAN Qingyun; WANG Fuli; HE Dakuo; WU Chang

doi:10.11949/j.issn.0438-1157.20141924

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Optimization based on particle swarm algorithm for leaching rate ofgold hydrometallurgy process

更新时间：2025-11-26

- Optimization based on particle swarm algorithm for leaching rate ofgold hydrometallurgy process
- CIESC Journal Vol. 66, Issue 7, Pages: 2595-2600(2015)
- 作者机构：
  
  1. 东北大学信息科学与工程学院,辽宁,沈阳,110819
  2. 东北大学流程工业综合自动化国家重点实验室,辽宁,沈阳,110819
  3. 东北财经大学,辽宁,大连,116025
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20141924
  CLC： P9
- Online First：05 July 2015，
  
  Published：05 July 2015
- 稿件说明：
移动端阅览
YUAN Qingyun, WANG Fuli, HE Dakuo, et al. Optimization based on particle swarm algorithm for leaching rate ofgold hydrometallurgy process[J]. CIESC Journal, 2015, 66(7): 2595-2600.
DOI：

YUAN Qingyun, WANG Fuli, HE Dakuo, et al. Optimization based on particle swarm algorithm for leaching rate ofgold hydrometallurgy process[J]. CIESC Journal, 2015, 66(7): 2595-2600. DOI： 10.11949/j.issn.0438-1157.20141924.

摘要

各浸出率的合理分配对组织金矿湿法冶金浸出过程生产具有重要作用

当前各浸出率通常由精炼厂氰化车间工程师凭人工经验给出

导致对浸出过程生产的指导具有很大的模糊性与随意性

不能保证调整后的总浸出率最大。为优化确定金矿湿法冶金各浸出率

建立以总浸出率最大为目标的优化模型

并将二阶振荡粒子群算法用于模型的求解。最后通过实验研究验证了模型和算法的有效性。

Abstract

Rational allocation of leaching rates is significant for the organization of leaching process production. Generally

each leaching rate is given by engineers with the help of their experiences

which makes the supervision of leaching process production with a large extent of fuzziness and randomness

and it does not guarantee that the adjusted total leaching rate is the maximum. In order to determine the optimal leaching rate of gold hydrometallurgy process

an optimization model is established with maximizing the total leaching rate of hydrometallurgy process as the goal. And the second-order oscillating particle swarm algorithm is applied to solve the model. Finally

an experimental research demonstrates the effectiveness of the established model and algorithm.

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