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

Authors:
Jaroslav Hájek;András Szöllös;Jakub Šístek
Affiliations:
Aeronautical Research and Test Institute, Beranových 130, Praha CZ-199 05, Czech Republic;Aeronautical Research and Test Institute, Beranových 130, Praha CZ-199 05, Czech Republic;Institute of Mathematics of the AS CR, itná 25, Praha CZ-115 67, Czech Republic
Venue:
Advances in Engineering Software
Year:
2010

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Abstract

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.