A new mechanism for maintaining diversity of Pareto archive in multi-objective optimization

The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems. The ability of this approach to produce individuals uniformly distributed along the Pareto set without negative impact on convergence i...

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Bibliographic Details
Published in:Advances in engineering software (1992) 2010-07, Vol.41 (7), p.1031-1057
Main Authors: Hajek, Jaroslav, Szoelloes, Andras, Aaistek, Jakub
Format: Article
Language:English
Subjects:
Algorithms
Archives
Computer programs
Convergence
Diversity
Micro-genetic algorithm
Multi-objective optimization
Optimization
Packages
Pareto archive
Pareto optimality
Software
Software engineering
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Summary:The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems. The ability of this approach to produce individuals uniformly distributed along the Pareto set without negative impact on convergence is demonstrated on presented results. The new concept was confronted with NSGA-II, SPEA2, and IBEA algorithms from the PISA package. Another studied effect is the size of population versus number of generations for small populations.
ISSN:0965-9978
DOI:10.1016/j.advengsoft.2010.03.003