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- Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
- EMO
- 2006
- Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
- SEAL
- 2010
- Hernán E. Aguirre, Kiyoshi Tanaka
- European Journal of Operational Research
- 2007
This work studies the working principles, behavior, and performance of multiobjective evolutionary algorithms (MOEAs) on multiobjective epistatic fitness functions with discrete binary search spaces… (More)
In this paper, we propose a calculation method of local dominance and enhance multiobjective evolutionary algorithms by performing a distributed search based on local dominance. We divide the… (More)
- Wei Ren Tan, Chee Seng Chan, Hernán E. Aguirre, Kiyoshi Tanaka
- 2016 IEEE International Conference on Image…
- 2016
“Ceci n'est pas une pipe” French for “This is not a pipe”. This is the description painted on the first painting in the figure above. But to most of us, how could this painting is not a pipe, at… (More)
- Martin Drozdik, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
- IEEE Transactions on Evolutionary Computation
- 2015
Many multiobjective evolutionary algorithms rely on the nondominated sorting procedure to determine the relative quality of individuals with respect to the population. In this paper, we propose a new… (More)
- Antonio López Jaimes, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka
- Inf. Sci.
- 2014
- Hernán E. Aguirre, Kiyoshi Tanaka
- Proceedings of the 2004 Congress on Evolutionary…
- 2004
The influence of epistasis on the performance of evolutionary algorithms (EAs) is being increasingly investigated for single objective combinatorial optimization problem. Kauffman's NK-landscapes… (More)
We have presented an empirical model of GA that puts parallel genetic operators in a cooperative-competitive stand with each other. An improved GA (GA-SRM) based on this model remarkably improves the… (More)