Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/20272
Title: A new genetic algorithm for the tool indexing problem
Authors: Ghosh, Diptesh
Keywords: CNC tool indexing;Genetic algorithm;Permutation problem
Issue Date: 14-Mar-2016
Publisher: Indian Institute of Management Ahmedabad
Series/Report no.: W.P.;2016-03-17
Abstract: The tool indexing problem is one of allocating tools to slots in a tool magazine so as to minimize the tool change time in automated machining. This problem has been widely studied in the literature. A genetic algorithm has been suggested in the literature to solve this problem, but its implementation is non-standard. In this paper we describe a permutation based genetic algorithm for the tool indexing problem and compare its performance with an existing genetic algorithm.
URI: http://hdl.handle.net/11718/20272
Appears in Collections:Working Papers

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