An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem

2017 ◽  
Vol 61 ◽  
pp. 193-210 ◽  
Author(s):  
Weishi Shao ◽  
Dechang Pi ◽  
Zhongshi Shao
Keyword(s):  
Optimization Algorithm ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Scheduling Problem ◽  
Shop Scheduling ◽  
Teaching Learning Based Optimization ◽  
No Wait ◽  
Teaching Learning

An improved water wave optimization algorithm with the single wave mechanism for the no-wait flow-shop scheduling problem

2018 ◽  
Vol 51 (10) ◽  
pp. 1727-1742 ◽  
Author(s):  
Fuqing Zhao ◽  
Lixin Zhang ◽  
Huan Liu ◽  
Yi Zhang ◽  
Weimin Ma ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Water Wave ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Scheduling Problem ◽  
Single Wave ◽  
Shop Scheduling ◽  
No Wait

A discrete Water Wave Optimization algorithm for no-wait flow shop scheduling problem

2018 ◽  
Vol 91 ◽  
pp. 347-363 ◽  
Author(s):  
Fuqing Zhao ◽  
Huan Liu ◽  
Yi Zhang ◽  
Weimin Ma ◽  
Chuck Zhang
Keyword(s):  
Optimization Algorithm ◽  
Water Wave ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Scheduling Problem ◽  
Shop Scheduling ◽  
No Wait

Diversified teaching-learning-based optimization for fuzzy two-stage hybrid flow shop scheduling with setup time

2021 ◽  
pp. 1-15
Author(s):  
Deming Lei ◽  
Bingjie Xi
Keyword(s):  
Flow Shop ◽  
Setup Time ◽  
Distributed Scheduling ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Scheduling Problem ◽  
Shop Scheduling ◽  
Hybrid Flow Shop Scheduling ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

Distributed scheduling has attracted much attention in recent years; however, distributed scheduling problem with uncertainty is seldom considered. In this study, fuzzy distributed two-stage hybrid flow shop scheduling problem (FDTHFSP) with sequence-dependent setup time is addressed and a diversified teaching-learning-based optimization (DTLBO) algorithm is applied to optimize fuzzy makespan and total agreement index. In DTLBO, multiple classes are constructed and categorized into two types according to class quality. Different combinations of global search and neighborhood search are used in two kind of classes. A temporary class with multiple teachers is built based on Pareto rank and difference index and evolved in a new way. Computational experiments are conducted and results demonstrate that the main strategies of DTLBO are effective and DTLBO has promising advantages on solving the considered problem.

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