Abstract
This work explores the influence of three different dominance criteria, namely the Pareto-, ε -, and cone ε -dominance, on the performance of multiobjective evolutionary algorithms. The approaches are incorporated into two different algorithms, which are then applied to the solution of twelve benchmark problems from the ZDT and DTLZ families. The final results of the algorithms are compared in terms of cardinality, convergence, and diversity of solutions using a statistical methodology designed to indicate whether any of the criteria provides significantly better results over the whole test set. The results obtained suggest that the cone ε -approach is an interesting alternative for finding welldistributed fronts without the loss of efficient solutions usually presented by the ε-dominance.
Original language | English |
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Title of host publication | GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion |
Publisher | ACM |
Pages | 89-90 |
Number of pages | 2 |
ISBN (Print) | 9781450319645 |
DOIs | |
Publication status | Published - 26 Aug 2013 |
Event | 15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013 - Amsterdam, Netherlands Duration: 6 Jul 2013 → 10 Jul 2013 |
Conference
Conference | 15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013 |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 6/07/13 → 10/07/13 |
Keywords
- Evolutionary algorithms
- Multiobjective optimization