Research Project
Grant-in-Aid for Young Scientists (B)
In this study, we developed a widely applicable multi-objective genetic algorithm that can find a set of well-distributed solutions which approximates the entire Pareto front. Our proposed method consists of an interpolation-direct multistep crossover and an extrapolation-direct multistep crossover which consider the local ruggedness in objective functions. We evaluated the effectiveness of the method against the levels of intensity of ruggedness in each objective function through the experiments with multi-objective NK model that explains various intrinsic structures observed in combinatorial problems. In addition we applied our method to the design of noise removal filters of digital images.
All 2012 2011 2010
All Journal Article (9 results) (of which Peer Reviewed: 9 results) Presentation (13 results) Book (1 results)
Proc. 2011 IEEE International Conference on Systems, Man, and Cybernetics
Pages: 669-674
40019434067
電子情報通信学会論文誌A
Volume: Vol.J94-A, No.1 Pages: 18-29
110008007079
Proc. 8th International Conference on Information, Communications and Signal Processing
Volume: FM1.1 Pages: 1-5
Proc.2011 IEEE International Conference on Systems, Man, and Cybernetics
IEICE Trans. Inf. and Syst
Volume: Vol.E93-D, No.11 Pages: 3108-3111
10027988666
IEICE Trans. Fundamentals
Volume: Vol.E93-A, No.11 Pages: 2196-2199
10027985033
IPSJ Transactions on Mathematical Modeling and Its Applications(TOM)
Volume: Vol.3, No.3 Pages: 154-165
130000770572
IPSJ Transactions on Mathematical Modeling and Its Applications (TOM)
Volume: vol.3, no.3 Pages: 154-165
Proc.2010 International Symposium on Communications and Information Technologies
Pages: 143-148
