A new heuristic for minimizing total completion time objective in permutation flow shop scheduling

2010 ◽  
Vol 53 (9-12) ◽  
pp. 1189-1197 ◽  
Author(s):  
Dipak Laha ◽  
Arindam Chakravorty
Keyword(s):  
Completion Time ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Total Completion Time ◽  
Shop Scheduling ◽  
Permutation Flow Shop Scheduling ◽  
Permutation Flow Shop

scholarly journals Adaptation and parameters studies of CS algorithm for flow shop scheduling problem

2021 ◽  
Vol 11 (3) ◽  
pp. 2266
Author(s):  
Driss Belbachir ◽  
Fatima Boumediene ◽  
Ahmed Hassam ◽  
Ltéfa Ghomri
Keyword(s):  
Completion Time ◽  
Flow Shop ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Flow Shop Scheduling ◽  
Total Completion Time ◽  
Scheduling Problem ◽  
Shop Scheduling ◽  
Permutation Flow Shop

Scheduling concerns the allocation of limited resources overtime to perform tasks to fulfill certain criterion and optimize one or several objective functions. One of the most popular models in scheduling theory is that of the flow-shop scheduling. During the last 40 years, the permutation flow-shop sequencing problem with the objective of makespan minimization has held the attraction of many researchers. This problem characterized as Fm/prmu/Cmax in the notation of Graham, involves the determination of the order of processing of n jobs on m machines. In addition, there was evidence that m-machine permutation flow-shop scheduling problem (PFSP) is strongly NP-hard for m ≥3. Due to this NP-hardness, many heuristic approaches have been proposed, this work falls within the framework of the scientific research, whose purpose is to study Cuckoo search algorithm. Also, the objective of this study is to adapt the cuckoo algorithm to a generalized permutation flow-shop problem for minimizing the total completion time, so the problem is denoted as follow: Fm | | Cmax. Simulation results are judged by the total completion time and algorithm run time for each instance processed.

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