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

0346694 - MÚ 2011 RIV NL eng J - Journal Article
Hájek, J. - Szöllös, A. - Šístek, Jakub
A new mechanism for maintaining diversity of Pareto archive in multi-objective optimization.
Advances in Engineering Software. Roč. 41, 7-8 (2010), s. 1031-1057. ISSN 0965-9978. E-ISSN 1873-5339
R&D Projects: GA AV ČR IAA100760702
Institutional research plan: CEZ:AV0Z10190503
Keywords : multi-objective optimization * micro-genetic algorithm * diversity * Pareto archive
Subject RIV: BA - General Mathematics
Impact factor: 1.004, year: 2010
http://www.sciencedirect.com/science/article/pii/S0965997810000451

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 IBERA algorithms from the PISA package. Another studied effect is the size of population versus number of generations for small populations.
Permanent Link: http://hdl.handle.net/11104/0187646