Tehran International Congress on Manufacturing Engineering (TICME2005) , 2005-12-12

Title : ( pareto-optimal solutions for multi-objective optimization of turning operation using nondominated sorting genetic algorithm )

Authors: Ali Akbar Akbari , mostafa tazimi ,

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Many machining operation problems are characterized by their multiple performance measures that are often noncommensurable and competing with each other. The presence of multiple objectives in a problem usually gives rise to a set of optimal solutions, largely known as Pareto-optimal solutions. Evolutionary algorithms have been recognized to be well suited for multi-objective optimization because of their capability to evolve a set of nondominated solutions distributed along the Pareto Front. This has led to the development of many evolutionary multi-objective optimization algorithms among which Nondominated Sorting Genetic Algorithm (NSGA and its enhanced version NSGA-II) has been found effective in solving a wide variety of problems. The purpose of this study is to extend this methodology for solution of multi-objective optimization of turning operation under the framework of NSGA-II. Two objective functions, cost and surface roughness, and three machining parameters, feed rate, cutting speed and depth of cut, are considered. Results show that NSGA-II is a suitable method for our problem.

Keywords

, Machining, Surface Roughness, Multi-Objective Optimization, Pareto-Optimal, Genetic Algorithm,
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@inproceedings{paperid:1036311,
author = {Akbari, Ali Akbar and Tazimi, Mostafa},
title = {pareto-optimal solutions for multi-objective optimization of turning operation using nondominated sorting genetic algorithm},
booktitle = {Tehran International Congress on Manufacturing Engineering (TICME2005)},
year = {2005},
location = {تهران, IRAN},
keywords = {Machining; Surface Roughness; Multi-Objective Optimization; Pareto-Optimal; Genetic Algorithm; NSGA-ΙΙ},
}

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%0 Conference Proceedings
%T pareto-optimal solutions for multi-objective optimization of turning operation using nondominated sorting genetic algorithm
%A Akbari, Ali Akbar
%A Tazimi, Mostafa
%J Tehran International Congress on Manufacturing Engineering (TICME2005)
%D 2005

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