Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/267630 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 15 [Issue:] 2 [Publisher:] Springer [Place:] Heidelberg [Year:] 2019 [Pages:] 367-378
Publisher: 
Springer, Heidelberg
Abstract: 
This paper aims to prove the efficiency of an adapted computationally intelligence-based behavior of cats called the cat swarm optimization algorithm, that solves the open shop scheduling problem, classified as NP-hard which its importance appears in several industrial and manufacturing applications. The cat swarm optimization algorithm was applied to solve some benchmark instances from the literature. The computational results, and the comparison of the relative percentage deviation of the proposed metaheuristic with other's existing in the literature, show that the cat swarm optimization algorithm yields good results in reasonable execution time.
Subjects: 
Scheduling problem
Swarm optimization
Behavior of cats
Computationally intelligence
Discrete
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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