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Particle swarm optimization based algorithm for machining parameter optimization

Published • Nov 8, 2004
NobleIDNI4P58W27R92S96
Authors:
Liang Gao
,
Hai-Bing Gao
,
Chi Zhou

Abstract

Selection of machining parameters is an important step in process planning. In view of this problem, a new methodology based on particle swarm optimization (PSO) is developed to optimize machining conditions. First, by introducing the concept of history constraint satisfaction, constraint handling s...

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