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title

A Computational Algorithm Based on Normalization for Constructing the Pareto Front of Multiobjective Optimization Problems

Credit to Download: 0 | Page Numbers 4 | Abstract Views: 59
Year: 2019
COI code: ICISE05_095
Paper Language: English

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Authors A Computational Algorithm Based on Normalization for Constructing the Pareto Front of Multiobjective Optimization Problems

Behzad Pirouz - Department of Mathematics Islamic Azad University Karaj, Iran
Javaher Ramezani Paschapari - Department of Management Islamic Azad University Rasht, Iran

Abstract:

In this paper, we have presented a computational algorithm based on normalization for constructing the Pareto front (PF) in multi-objective optimization problems (MOP). Some modifications of the epsilon-constraint method were suggested by Ehrgott et al., by including slack and surplus variables in the formulation of this method. In this paper, we replaced the unknown value of epsilon by a controllable step length such that the feasible set of the problem will be non-empty. The proposed algorithm is applied to some illustrative examples to demonstrate its computational efficiency.

Keywords:

multi-objective; optimization problem; Pareto front; scalarization techniques; computationally efficient algorithm.

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COI code: ICISE05_095

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Pirouz, Behzad & Javaher Ramezani Paschapari, 2019, A Computational Algorithm Based on Normalization for Constructing the Pareto Front of Multiobjective Optimization Problems, 5th International Conference on Industrial and Systems Engineering, مشهد, گروه مهندسي صنايع دانشگاه فردوسي مشهد, https://www.civilica.com/Paper-ICISE05-ICISE05_095.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Pirouz, Behzad & Javaher Ramezani Paschapari, 2019)
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