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Yusuke Nojima (Selection)

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70Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization. Soft Comput. 15(9): 1749-1767 (2011)
67Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Simultaneous use of different scalarizing functions in MOEA/D. GECCO 2010: 519-526
66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima: Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. GECCO 2010: 527-534
58Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm. EMO 2009: 438-452
56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach. FUZZ-IEEE 2009: 1609-1614
52Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Single-objective and multi-objective formulations of solution selection for hypervolume maximization. GECCO 2009: 1831-1832
51Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 2508-2515
50Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima: Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 530-537
46Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima: Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations. SMC 2009: 1758-1763

Selection of 9 from 87 records - Yusuke Nojima has 29 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page