Overview of PSO for Optimizing Process Parameters of Machining

Overview of PSO for Optimizing Process Parameters of Machining

In the current trends of optimizing machining process parameters, various evolutionary or meta-heuristic techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO) and Artificial Bee Colony algorithm (ABC) have been used. T...

Full description

Bibliographic Details
Main Authors: Norfadzlan, Yusup, Azlan, Mohd Zain, Siti Zaiton, Mohd Hashim
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/17591/
http://ir.unimas.my/id/eprint/17591/1/Overview%20of%20PSO%20for%20Optimizing%20Process%20Parameters%20of%20Machining%20%28abstract%29.pdf

Internet

http://ir.unimas.my/id/eprint/17591/
http://ir.unimas.my/id/eprint/17591/1/Overview%20of%20PSO%20for%20Optimizing%20Process%20Parameters%20of%20Machining%20%28abstract%29.pdf

Similar Items