Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios
Joint Authors
Soto, Ricardo
Paredes, Fernando
Castro, Carlos
Olivares, Rodrigo
de la Fuente-Mella, Hanns
Aste Toledo, Angelo
Crawford, Broderick
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-14
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
In this research, we present a Binary Cat Swarm Optimization for solving the Manufacturing Cell Design Problem (MCDP).
This problem divides an industrial production plant into a certain number of cells.
Each cell contains machines with similar types of processes or part families.
The goal is to identify a cell organization in such a way that the transportation of the different parts between cells is minimized.
The organization of these cells is performed through Cat Swarm Optimization, which is a recent swarm metaheuristic technique based on the behavior of cats.
In that technique, cats have two modes of behavior: seeking mode and tracing mode, selected from a mixture ratio.
For experimental purposes, a version of the Autonomous Search algorithm was developed with dynamic mixture ratios.
The experimental results for both normal Binary Cat Swarm Optimization (BCSO) and Autonomous Search BCSO reach all global optimums, both for a set of 90 instances with known optima, and for a set of 35 new instances with 13 known optima.
American Psychological Association (APA)
Soto, Ricardo& Crawford, Broderick& Aste Toledo, Angelo& de la Fuente-Mella, Hanns& Castro, Carlos& Paredes, Fernando…[et al.]. 2019. Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1129471
Modern Language Association (MLA)
Soto, Ricardo…[et al.]. Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1129471
American Medical Association (AMA)
Soto, Ricardo& Crawford, Broderick& Aste Toledo, Angelo& de la Fuente-Mella, Hanns& Castro, Carlos& Paredes, Fernando…[et al.]. Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1129471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129471