Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (IEEE Congress on Evolutionary Computation, 2009)

Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. - Hisao Ishibuchi; Noritaka Tsukamoto; Yuji Sakane; Yusuke Nojima (IEEE Congress on Evolutionary Computation, 2009)

Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (EMO, 2009)

Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (FUZZ-IEEE, 2009)

Single-objective and multi-objective formulations of solution selection for hypervolume maximization. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (GECCO, 2009)

Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (SMC, 2009)

Simultaneous use of different scalarizing functions in MOEA/D. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (GECCO, 2010)

Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. - Hisao Ishibuchi; Noritaka Tsukamoto; Yuji Sakane; Yusuke Nojima (GECCO, 2010)

Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization. - Hisao Ishibuchi; Yuji Sakane; Noritaka Tsukamoto; Yusuke Nojima (Soft Comput., 2011)