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Inicio  /  Algorithms  /  Vol: 13 Par: 9 (2020)  /  Artículo
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TITULO

A New Chaotic-Based Approach for Multi-Objective Optimization

Nassime Aslimani    
Talbi El-ghazali and Rachid Ellaia    

Resumen

Multi-objective optimization problems (MOPs) have been widely studied during the last decades. In this paper, we present a new approach based on Chaotic search to solve MOPs. Various Tchebychev scalarization strategies have been investigated. Moreover, a comparison with state of the art algorithms on different well known bound constrained benchmarks shows the efficiency and the effectiveness of the proposed Chaotic search approach.

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