A New Mechanism for Maintaining Diversity of Pareto Archive in Multiobjective Optimization
Optimization and Control
2015-03-13 v1 Neural and Evolutionary Computing
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.
Keywords
Cite
@article{arxiv.1003.5998,
title = {A New Mechanism for Maintaining Diversity of Pareto Archive in Multiobjective Optimization},
author = {Jaroslav Hájek and András Szöllös and Jakub Šístek},
journal= {arXiv preprint arXiv:1003.5998},
year = {2015}
}
Comments
51 pages, 28 figures