Yeboon Yun

Hirotaka Nakayama, Yeboon Yun, Takeshi Iida, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009, Vector Optimization.

Goal Programming Approaches to Support Vector Machines

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2003, KES.

Data Envelopment Analysis in Multicriteria Decision Making

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2003 .

Generation of Pareto Frontier by Genetic Algorithms

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009 .

Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms

Hirotaka Nakayama, Yeboon Yun, Y. Yun, 2013, J. Glob. Optim..

A Generalization of DEA Model

Hirotaka Nakayama, Yeboon Yun, Tetsuzo Tanino, 1999 .

Combining Aspiration Level Approach and SAMO

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009 .

A Multi-Objective Optimization Method Combining Generalized Data Envelopment Analysis and Genetic Algorithms

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2000 .

Multi-objective Model Predictive Optimization using Computational Intelligence

Hirotaka Nakayama, Yeboon Yun, Y. Yun, 2008, IFIP AI.

Consideration of Design Instruction by Using DEA

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2001 .

2202 Engineering Design using Generalized Data Envelopment Analysis

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2001 .

Multi-objective Model Predictive Control Using Computational Intelligence

Hirotaka Nakayama, Yeboon Yun, Masakazu Shirakawa, 2010 .

Generation of Pareto optimal solutions using generalized DEA and PSO

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2016, J. Glob. Optim..

Computational Intelligence Method in Multi-Objective Optimization

Min Yoon, Yeboon Yun, H. Nakayama, 2006, 2006 SICE-ICASE International Joint Conference.

207 Hybrid Multi-Objective Optimization Method using Computational Intelligence

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2006 .

Sequential Approximate Optimization

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009 .

Genetic Algorithm for Multi-objective Optimization Using GDEA

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2005, ICNC.

Practical Approach to Outlier Detection Using Support Vector Regression

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2008, ICONIP.

1103 Effective Learning in Support Vector Machines using Bagging and Boosting

Hirotaka Nakayama, Yeboon Yun, 2014 .

Pattern classification by goal programming and support vector machines

Hirotaka Nakayama, Yeboon Yun, Tetsuzo Tanino, 2004, Comput. Manag. Sci..

Support Vector Regression Based on Goal Programming and Multi-objective Programming

Hirotaka Nakayama, Yeboon Yun, Y. Yun, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Multi-Objective Model Predictive Control

Hirotaka Nakayama, Yeboon Yun, Masakazu Shirakawa, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

Sequential approximate multi-objective optimization using computational intelligence

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009 .

Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2001, Eur. J. Oper. Res..

A STUDY OF TRAIN OPERATION REGULATIONS OF A SEQUENTIAL RENEWABLE METHOD USING SUPPORT VECTOR MACHINE

Kohei Furukawa, Hirotaka Nakayama, Yeboon Yun, 2009 .

Basic Concepts of Multi-objective Optimization

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009 .

Prediction of Business Failure by Total Margin Support Vector Machines

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2004, KES.

Multi-Objective Particle Swarm Optimization using Generalized Data Envelopment Analysis

Hirotaka Nakayama, Yeboon Yun, Y. Yun, 2010 .

Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming

Hirotaka Nakayama, Yeboon Yun, Y. Yun, 2006, Multi-Objective Machine Learning.

Multi-objective Optimization and Computational Intelligence

Hirotaka Nakayama, Min Yoon, Yeboon Yun, 2009 .

GENERATION OF PARETO FRONTIERS USING SUPPORT VECTOR MACHINE

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2004 .

On Efficiency of Data Envelopment Analysis

Hirotaka Nakayama, Yeboon Yun, Tetsuzo Tanino, 2000 .

Multi-objective optimization based on meta-modeling by using support vector regression

Hirotaka Nakayama, Yeboon Yun, Min Yoon, 2009 .

Optimum design using radial basis function networks by adaptive range genetic algorithms (determination of radius in radial basis function networks)

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

A multi-objective optimization method combining generalized data envelopment analysis and genetic algorithms

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).