Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22939
Title: The solution of a multi-objective tool selection model using the GA approach
Authors: Keung, KW
Ip, WH 
Lee, TC
Keywords: Flexible manufacturing system (FMS)
Genetic algorithm (GA)
Multi-objective tool selection problem
Issue Date: 2001
Publisher: Springer
Source: International journal of advanced manufacturing technology, 2001, v. 18, no. 11, p. 771-777 How to cite?
Journal: International journal of advanced manufacturing technology 
Abstract: Tool switching problems in flexible manufacturing systems have been investigated over the last ten years. Work has also been carried out on minimising the number of tool switches and tool switching instances. Optimisation techniques are successful in locating optimum solutions. However, some solutions are slow in convergence and require time to attain the global minimum. Alternative methods which attempt to overcome this problem may risk being trapped at the local minima and fail to give the best solution. In this paper, a model was developed to minimise both the number of tool switches and tool switching instances simultaneously. Genetic algorithms (GAs) which have not been used to solve tool selection problems have been adopted to seek for the global optimum. GAs are found to be fast and efficient in locating an optimum or near optimum solution within an affordable time.
URI: http://hdl.handle.net/10397/22939
ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s001700170001
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