[Kovove materialy - Metallic materials]
    Thu - November 15, 2018 - 13:42 No. of hits : 975170 ISSN 1338-4252 (online) ISSN 0023-432X (printed)
© Institute of Materials and Machine Mechanics, Slovak Academy of Sciences, Bratislava, Slovak Republic

VOLUME 51 (2013), Issue 6

The performance of TV-MOPSO in optimization of sintered steels
vol. 51 (2013), no. 6, pp. 333 - 341

During the last decade novel computational methods have been introduced in some fields of engineering sciences. In this article, we describe a novel Particle Swarm Optimization (PSO) approach to multi-objective optimization, called Time Variant Multi-Objective Particle Swarm Optimization (TV-MOPSO). The mechanical and tribological behaviors of sintered steel have been experimentally investigated. TV-MOPSO is made adaptive in nature by allowing its vital parameters to change with iterations. This adaptiveness helps the algorithm to explore the search space more efficiently. A new diversity parameter has been used to ensure sufficient diversity amongst the solutions of the non-dominated fronts, while retaining at the same time the convergence to the Pareto-optimal front.

Key words
wear, steel, swarm

[open article.pdf] Full text (479 KB)

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Full title of this journal is bilingual: Kovové materiály - Metallic Materials.
The official abbreviation in accordance with JCR ISI is Kovove Mater.

Article abstracts updated: 2018-11-15 12:46      
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