A Hybrid Particle Swarm Optimization Method for Flow Shop Scheduling Problem

TIAN Ye; LIU Da-you

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A Hybrid Particle Swarm Optimization Method for Flow Shop Scheduling Problem

更新时间：2025-07-16

- A Hybrid Particle Swarm Optimization Method for Flow Shop Scheduling Problem
- Acta Electronica Sinica Vol. 39, Issue 5, Pages: 1087-1093(2011)
- 作者机构：
  
  1. 吉林大学计算机科学与技术学院,吉林,长春,130012
  2. 吉林大学符号计算与知识工程教育部重点实验室,吉林,长春,130012
  3. 吉林大学计算机科学与技术学院吉林长春,130012
  4. 吉林大学符号计算与知识工程教育部重点实验室吉林长春,130012
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2011
- 稿件说明：
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TIAN Ye, LIU Da-you. A Hybrid Particle Swarm Optimization Method for Flow Shop Scheduling Problem[J]. Acta Electronica Sinica, 2011, 39(5): 1087-1093.
DOI：

TIAN Ye, LIU Da-you. A Hybrid Particle Swarm Optimization Method for Flow Shop Scheduling Problem[J]. Acta Electronica Sinica, 2011, 39(5): 1087-1093. DOI：

摘要

本文提出了一种混合的元启发式方法HDCPSO用于求解置换流水车间调度问题中的最小化完成时间.该算法将粒子群算法和迭代贪心算法(Iterative Greedy

IG)相结合

利用IG算法中的作业毁坏(Destruction)和构造(Construction)操作来对粒子进行变异

降低群体发生早熟的可能.引入了个体徘徊概念

用来控制个体变异.此外

通过基于插入的邻域搜索来提高个体的局部搜索能力.最后

提出了群体的重新初始化机制来进一步避免早熟收敛的发生.本文算法在不同规模的问题实例上与其他几个具有代表性的算法进行了比较

实验结果表明

无论是在求解质量还是稳定性方面都优于其他算法.

Abstract

A hybrid metaheuristic for the minimization of the makespan in permutation flow shop scheduling problem (FSSP) is proposed

which combines Particle Swarm Optimization (PSO) and Iterative Greedy (IG)

and takes advantage of Destruction and Construction (DC) of IG to prevent the swarm from premature convergence.Individual hovering is defined to control when the particle mutate.Besides

an insert (shift) neighborhood search is introduced to improve the particle's searching ability.Finally

we present an efficient population re-initialization scheme to avoid premature convergence further.The proposed algorithm is tested on different scale benchmarks and compared with the other representative algorithms.The result shows that HDCPSO is better than other algorithms in not only the solution quality but also the stability.

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