Title
A factorial based particle swarm optimization with a population adaptation mechanism for the no-wait flow shop scheduling problem with the makespan objective.
Abstract
•An FPAPSO algorithm is proposed for solving NWFSP.•The factorial representation is employed to map the search space to integer domain.•A VNS is introduced to search around the promising area in each generation.•The PA mechanism is designed to control the diversity of population.•The runtime analysis of FPAPSO is performed with the level-based theorem.
Year
DOI
Venue
2019
10.1016/j.eswa.2019.01.084
Expert Systems with Applications
Keywords
Field
DocType
Particle swarm optimization,No-wait flow shop scheduling problem,Factorial representation,Runtime analysis,Variable neighborhood search,Makespan
Particle swarm optimization,Population,Data mining,Mathematical optimization,Job shop scheduling,Computer science,Local optimum,Permutation,Flow shop scheduling,Factorial,Local search (optimization)
Journal
Volume
ISSN
Citations 
126
0957-4174
2
PageRank 
References 
Authors
0.39
19
6
Name
Order
Citations
PageRank
Fuqing Zhao112922.63
Shuo Qin2101.47
Guoqiang Yang341.08
Weimin Ma442726.76
Chuck Zhang511715.72
Houbin Song6122.19