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title

new scalarization method and a new algorithm to generate Pareto front of multiobjective optimization problems

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Year: 2019
COI code: ICIORS12_285
Paper Language: English

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Authors new scalarization method and a new algorithm to generate Pareto front of multiobjective optimization problems

  Mehrdad Ghaznavi - Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran

Abstract:

In this paper, we address scalarization techniques for multiobjective optimization problems. We propose a new scalarization approach, called unified Pascoletti-Serafini approach. Our theoretical results establish the relation between the solutions of the suggested scalarizationtechnique and (properly, weakly) efficient solutions of the related MOP. Moreover, based on the theoretical results, we formulate a new algorithm to generate Pareto fronts of multiobjective optimization problems. Finally, we show the effectiveness of the proposed algorithm with respect to some existing methods.

Keywords:

Multiobjective optimization, Proper efficiency,Scalarization, Unified Pascoletti-Serafini method, Pareto front

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COI code: ICIORS12_285

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Ghaznavi, Mehrdad, 2019, new scalarization method and a new algorithm to generate Pareto front of multiobjective optimization problems, The 12th International Conference of Iranian Operations Research Society, بابلسر, دانشگاه علوم و فنون مازندران, https://www.civilica.com/Paper-ICIORS12-ICIORS12_285.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.
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Type: state university
Paper No.: 6897
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