A competitive genetic algorithm for single row facility layout
Ravi Kothari; Diptesh Ghosh
The single row facility layout is the NP-Hard problem of arranging facilities with given lengths on a line, so as to minimize the weighted sum of the distances between all pairs of facilities. Owing to the computational complexity of the problem, researchers have developed several heuristics to obtain good quality solutions. In this paper, we present a genetic algorithm to solve large SRFLP instances. Our computational experiments show that an appropriate selection of genetic operators can field high quality solutions in spite of starting with an initial population that is largely randomly generated. Our algorithm improves the previously best known solutions for the 24 instances of 43 benchmark instances and is competitive for the remaining ones.
Year of publication: |
2012
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Authors: | Kothari, Ravi ; Ghosh, Diptesh |
Publisher: |
Ahmedabad : IIMA |
Subject: | single row facility layout problem (SRFLP) | Fabrikplanung | Facility layout | Betriebliche Standortwahl | Firm location choice | Geographische Entfernung | Geographic distance | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory |
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Extent: | Online-Ressource (15 S.) |
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Series: | Working paper / Indian Institute of Management, Ahmedabad. - Ahmedabad : [Verlag nicht ermittelbar], ZDB-ID 2450233-9. - Vol. 2012,03,01 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature |
Language: | English |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10009513274
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