A Particle Swarm Optimization Algorithm for Robust Flow-shop Scheduling with Fuzzy Processing Times

2007 ◽  
Author(s):  
Bing Wang ◽  
Zhen Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Flow Shop ◽  
Particle Swarm ◽  
Flow Shop Scheduling ◽  
Swarm Optimization ◽  
Shop Scheduling ◽  
Processing Times ◽  
Fuzzy Processing Times

Solution for flow shop scheduling problems using chaotic hybrid firefly and particle swarm optimization algorithm with improved local search

2021 ◽  
Vol 25 (10) ◽  
pp. 7143-7154
Author(s):  
Serkan Kaya ◽  
Abdülkadir Gümüşçü ◽  
İbrahim Berkan Aydilek ◽  
İzzettin Hakan Karaçizmeli ◽  
Mehmet Emin Tenekeci
Keyword(s):  
Particle Swarm Optimization ◽  
Local Search ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Flow Shop ◽  
Particle Swarm ◽  
Flow Shop Scheduling ◽  
Scheduling Problems ◽  
Swarm Optimization ◽  
Shop Scheduling

Hybrid Mean Particle Swarm Optimization Algorithm for Permutation Flow Shop Scheduling Problem

2010 ◽  
Vol 44-47 ◽  
pp. 270-274
Author(s):  
Yong Quan Zhou ◽  
Zheng Xin Huang ◽  
Yan Lian Du ◽  
Qiao Qiao Gong
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Flow Shop ◽  
Particle Swarm ◽  
Flow Shop Scheduling ◽  
Swarm Optimization ◽  
Shop Scheduling ◽  
Permutation Flow Shop Scheduling ◽  
Permutation Flow Shop

This paper presents a new hybrid mean particle swarm optimization algorithm with improved NEH heuristic approach and local search strategies by using an immune mechanism. This hybrid mean particle swarm optimization algorithm is used for permutation flow shop scheduling problems. Finally, twenty-five problems are used to test the performance of the algorithm, the experimental results show that the proposed approach is an effective and practical.

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