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 |
Files in This Item:
File | Description | Size | Format | |
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WP_2016_03_17.pdf | WP_2016_3_17 | 310.35 kB | Adobe PDF | View/Open |
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