2011Unpublished venueRequires access

Local optimization in global Multi-Objective Optimization Algorithms

Algirdas Lančinskas, Julius Žilinskas, Pilar M. Ortigosa

Open publisher page 4 citations

Abstract

A hybrid Multi-Objective Optimization Algorithm based on the NSGA-II algorithm is presented and evaluated. The local optimization algorithm called SASS has been modified in order to be suitable for multi-objective optimization where the local optimization is intended towards non-dominated points. The modified local optimization algorithm has been incorporated into NSGA-II in order to improve performance.

About this research paper

What this paper is about

A hybrid Multi-Objective Optimization Algorithm based on the NSGA-II algorithm is presented and evaluated. The local optimization algorithm called SASS has been modified in order to be suitable for multi-objective optimization where the local optimization is intended towards non-dominated points. The modified local optimization algorithm has been incorporated into NSGA-II in order to improve performance.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A hybrid Multi-Objective Optimization Algorithm based on the NSGA-II algorithm is presented and evaluated. The local optimization algorithm called SASS has been modified in order to be suitable for multi-objective optimization where the local optimization is intended towards non-dominated points. The modified local optimization algorithm has been incorporated into NSGA-II in order to improve performance.

Key concepts: Computer science, Optimization algorithm, Mathematical optimization, Algorithm, Mathematics

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