Ant colony optimization for multi-objective flowshop scheduling problem

Ant colony optimization for multi-objective flowshop scheduling problem

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Article ID: iaor2009958
Country: Netherlands
Volume: 54
Issue: 3
Start Page Number: 411
End Page Number: 420
Publication Date: Apr 2008
Journal: Computers & Industrial Engineering
Authors: ,
Keywords: heuristics: ant systems
Abstract:

Flow shop scheduling problem consists of scheduling given jobs with same order at all machines. The job can be processed on at most one machine; meanwhile one machine can process at most one job. The most common objective for this problem is makespan. However, multi-objective approach for scheduling to reduce the total scheduling cost is important. Hence, in this study, we consider the flow shop scheduling problem with multi-objectives of makespan, total flow time and total machine idle time. Ant colony optimization algorithm is proposed to solve this problem which is known as NP-hard type.

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