Noritaka Tsukamoto

发表

Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE Congress on Evolutionary Computation.

Effects of the Use of Scalar Fitness Functions in Evolutionary Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008 .

Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, PPSN.

Iterative approach to indicator-based multiobjective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2007, 2007 IEEE Congress on Evolutionary Computation.

Behavior of Evolutionary Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2007, GECCO '07.

Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 11th International Conference on Computer Modelling and Simulation.

Difficulties in Evolutionary Multiobjective Optimization for Many-Objective Optimization Problems and Their Scalability Improvement Techniques

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009 .

Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, GECCO '08.

Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, SEAL.

Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, PPSN.

Single-objective and multi-objective formulations of solution selection for hypervolume maximization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, GECCO '09.

Proposal of Approximating Hypervolume by Scalarizing Functions for Evolutionary Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009 .

Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2011, Soft Comput..

Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Use of biased neighborhood structures in multiobjective memetic algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, Soft Comput..

Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, IEEE Transactions on Evolutionary Computation.

Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, PPSN.

Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, GECCO '10.

Evolutionary many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

Evolutionary many-objective optimization: A short review

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, EMO.

Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008, GECCO '08.

Simultaneous use of different scalarizing functions in MOEA/D

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010, GECCO '10.

Maintaining the Diversity of Solutions by Non-Geometric Binary Crossover in Genetic Algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2008 .

Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009, 2009 IEEE Congress on Evolutionary Computation.

Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2009 .

An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization

Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima, 2008, Eur. J. Oper. Res..

Incorporation of Hypervolume Approximation with Scalarizing Functions into Indicator-Based Evolutionary Multiobjective Optimization Algorithms

Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, 2010 .