计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (15): 236-239.
• 工程与应用 • 上一篇 下一篇
王 桢,黄 磊
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WANG Zhen, HUANG Lei
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摘要: 针对订单选择问题,考虑订单具有不同制程的特征,建立了以总收益为目标的混合整数非线性规划模型。以量子粒子群优化算法为框架进行求解,采用基于排序的粒子编码方案表达0-1变量和整数变量,提出四种种群初始化策略以便提高求解质量,并在迭代过程中对不可行解进行修复。通过对比验证,结果表明模型和算法可行、有效。
关键词: 订单选择, 多制程, 量子粒子群
Abstract: Considering the characteristic of multiple process routes, this paper focuses on the order selection problem. A mixed integer non-linear programming model is built with objective of maximizing the total profits. A quantum-behaved PSO-based algorithm is employed as solution mainframe in which a sequence-based particle coding solution is designed to represent decision variables and integer variables and four population initiation strategies are proposed to improve the solution quality. A repair mechanism for infeasible solutions is adopted in iteration. By computational comparison tests, it can be proven that the model and algorithm are feasible and effective.
Key words: order selection, multiple process routes, Quantum-behaved Particle Swarm Optimization(QPSO)
王 桢,黄 磊. 基于量子粒子群求解多制程订单选择问题[J]. 计算机工程与应用, 2015, 51(15): 236-239.
WANG Zhen, HUANG Lei. Quantum PSO algorithm for order selection problem with multiple process routes[J]. Computer Engineering and Applications, 2015, 51(15): 236-239.
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