Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 25, Issue 11-12, Pages 1078-1088Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00170-003-1939-9
Keywords
ant colony algorithm; genetic algorithm; optimization; multi-tool milling; particle swarm optimization algorithm; tabu search algorithm
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In this paper, optimization procedures based on the genetic algorithm, tabu search, ant colony algorithm and particle swarm optimization Algorithm were developed for the optimization of machining parameters for milling operation. This paper describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. An example has been presented at the end of the paper to give a clear picture from the application of the system and its efficiency. The results are compared and analysed using the method of feasible directions and handbook recommendations.
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