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Ken Doi
Ken Doi
Nomura Research Institute, Ltd.
Verified email at nri.co.jp
Title
Cited by
Cited by
Year
On the effect of normalization in MOEA/D for multi-objective and many-objective optimization
H Ishibuchi, Y Nojima
Complex & Intelligent Systems 3 (4), 279-294, 2017
522017
Relation between weight vectors and solutions in MOEA/D
H Ishibuchi, K Doi, H Masuda, Y Nojima
2015 IEEE Symposium Series on Computational Intelligence, 861-868, 2015
182015
Reference point specification in MOEA/D for multi-objective and many-objective problems
H Ishibuchi, K Doi, Y Nojima
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
152016
Use of piecewise linear and nonlinear scalarizing functions in MOEA/D
H Ishibuchi, Y Nojima
International Conference on Parallel Problem Solving from Nature, 503-513, 2016
102016
Characteristics of many-objective test problems and penalty parameter specification in MOEA/D
H Ishibuchi, K Doi, Y Nojima
2016 IEEE Congress on Evolutionary Computation (CEC), 1115-1122, 2016
92016
Use of inverted triangular weight vectors in decomposition-based many-objective algorithms
R Imada, Y Nojima, H Ishibuchi
Asia-Pacific Conference on Simulated Evolution and Learning, 321-333, 2017
12017
Use of inverted triangular weight vectors in decomposition-based multiobjective algorithms
H Ishibuchi, R Imada, K Doi, Y Nojima
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
12017
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