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ORCIDKaname Narukawa
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2010 – 2019
- 2017
[c20]Kaname Narukawa, Takahide Yoshiike, Kenta Tanaka, Mitsuhide Kuroda:
Real-time collision detection based on one class SVM for safe movement of humanoid robot. Humanoids 2017: 791-796- 2016
- [j3]Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff
, Hisao Ishibuchi:
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. 20(7): 2733-2757 (2016) - 2015
- [j2]Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff:
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. 19(6): 838-856 (2015) - [c19]Ran Cheng, Yaochu Jin, Kaname Narukawa:
Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. EMO (1) 2015: 127-140 - [c18]Yu Setoguchi, Kaname Narukawa, Hisao Ishibuchi:
A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points. EMO (1) 2015: 202-217 - [c17]Tobias Rodemann, Kaname Narukawa, Michael Fischer, Mohammed Awada:
Many-Objective Optimization of a Hybrid Car Controller. EvoApplications 2015: 593-603 - 2014
- [c16]Kaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi:
Evolutionary many-objective optimization using preference on hyperplane. GECCO (Companion) 2014: 91-92 - [c15]Yuki Tanigaki, Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi:
Preference-based NSGA-II for many-objective knapsack problems. SCIS&ISIS 2014: 637-642 - 2013
- [c14]Kaname Narukawa:
Effect of Dominance Balance in Many-Objective Optimization. EMO 2013: 276-290 - [c13]Kaname Narukawa:
Finding a diverse set of decision variables in evolutionary many-objective optimization. GECCO (Companion) 2013: 95-96 - [c12]Christopher Priester, Kaname Narukawa, Tobias Rodemann:
A comparison of different algorithms for the calculation of dominated hypervolumes. GECCO 2013: 655-662 - 2012
- [c11]Kaname Narukawa, Tobias Rodemann:
Examining the Performance of Evolutionary Many-Objective Optimization Algorithms on a Real-World Application. ICGEC 2012: 316-319
2000 – 2009
- 2008
- [j1]Hisao Ishibuchi, Kaname Narukawa, Noritaka Tsukamoto, Yusuke Nojima:
An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization. Eur. J. Oper. Res. 188(1): 57-75 (2008) - 2006
- [c10]Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi:
Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO 2006: 741-742 - 2005
- [c9]Hisao Ishibuchi, Kaname Narukawa:
Recombination of Similar Parents in EMO Algorithms. EMO 2005: 265-279 - [c8]Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi:
Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. EMO 2005: 341-354 - [c7]Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa:
Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. EMO 2005: 370-385 - [c6]Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi:
Modification of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Design of Fuzzy Rule-Based Classification Systems. FUZZ-IEEE 2005: 809-814 - [c5]Hisao Ishibuchi, Kaname Narukawa:
Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. GECCO 2005: 787-794 - [c4]Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima:
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO 2005: 817-824 - [c3]Hisao Ishibuchi, Kaname Narukawa:
Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. HIS 2005: 265-270 - 2004
- [c2]Hisao Ishibuchi, Kaname Narukawa:
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. GECCO (1) 2004: 1246-1258 - [c1]Hisao Ishibuchi, Kaname Narukawa:
Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms. HIS 2004: 404-409
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