期刊文献+

基于混沌粒子群优化的废弃物处理站选址方法

A Method for Location Allocation of Waste Disposal Stations Based on Chaotic PSO
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摘要 废弃物处理站选址是工程管理中经常遇到且难以解决的组合优化问题,其目标是在完成城市废弃物中转和处理等任务的同时,尽可能实现成本最小化。首先,给出问题的一般模型;接着,研究用于废弃物处理站选址问题的改进粒子群优化算法,给出粒子编码和适应值计算等关键算子;设计一种自适应混沌变异操作,用以提高算法的全局搜索能力;最后,应用于某市废弃物处理站选址问题中,验证了所提方法的有效性。 In this paper, we first presented the general location model of the waste disposal stations, then developed the improved PSO for its solution, gave the key operators, designed an adaptive chaotic mutation operation to improve the global search capability of the algorithm, and at the end, applied the model to an empirical case to demonstrate it validity.
作者 张威 张芳芳
出处 《物流技术》 2015年第1期197-200,共4页 Logistics Technology
关键词 设施选址 粒子群优化算法 废弃物处理站 混沌变异 选址方法 facilities location allocation PSO waste disposal station chaotic mutation location method
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参考文献9

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