基于改进混合粒子群算法求解混流车间物料配送路径问题
首发时间:2019-05-06
摘要:针对混流制造车间物料配送问题,建立了基于平衡优化指标的思想的多目标配送路径优化模型。提出了改进混合粒子群算法,将遗传算法的交叉变异操作以及模拟退火思想与粒子群算法相结合,并提出一种基于顺序列的分组组合优化编码方式,在该编码方式的基础上规划了带硬约束的编码步骤,通过降低粒子重复性和提高粒子有效性两方面提高粒子初始群体的质量,改善了粒子寻优能力。通过算例验证分析,结果表明改进的算法具有较强的寻优能力。也验证了改进的模型与算法可以更有效地解决混流制造车间的物料配送路径问题。
关键词: 改进混合粒子群算法 路径优化 物料配送 混流制造;分组组合优化编码
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Solving the problem of material distribution routing in mixed-flow workshop based on Improved Hybrid PSO
Abstract:Aiming at the material distribution problem of mixed-flow manufacturing workshop, a multi-objective distribution path optimization model is established based on the idea of balance optimization index. An improved hybrid particle swarm optimization (IHPSO) algorithm is proposed. The crossover and mutation of genetic algorithm and simulated annealing are introduced into the particle swarm optimization algorithm. A sequence-based grouping combination optimization coding is designed, and the encoding steps with hard constraints are designed to improve the particle optimization ability and the effectiveness of particles by reducing particle repeatability and improving particle effectiveness. The example verification analysis shows that the improved algorithm has better optimization ability. Also it proved that the improved model and algorithm can solve the material distribution route problem of the mixed-flow manufacturing workshop more effectively.
Keywords: Improved HybridPSO Path Optimization MaterialDistribution Mixed-flow Manufacturing Sequence-based Grouping Combination Optimization Coding
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基于改进混合粒子群算法求解混流车间物料配送路径问题
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