On the effect of normalization in MOEA/D for multi-objective and many-objective optimization H Ishibuchi, K Doi, Y Nojima Complex & Intelligent Systems 3 (4), 279-294, 2017 | 74 | 2017 |
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 | 22 | 2016 |
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 | 20 | 2015 |
Use of piecewise linear and nonlinear scalarizing functions in MOEA/D H Ishibuchi, K Doi, Y Nojima Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 12 | 2016 |
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 | 11 | 2016 |
Use of inverted triangular weight vectors in decomposition-based many-objective algorithms K Doi, R Imada, Y Nojima, H Ishibuchi Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 3 | 2017 |
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 | 1 | 2017 |