Masao Arakawa

Masao Arakawa, Hiroshi Ishikawa, W. Shiraki, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Multi-objective optimization system for plant pipe routing design

Masao Arakawa, Masakazu Shirakawa, 2019 .

A STUDY ON SETTING A CRITICAL RAINFALL FOR THE WARNING AND EVACUATION BASED ON DATA ENVELOPMENT ANALYSIS

Kohei Furukawa, Hirotaka Nakayama, Masao Arakawa, 2002 .

2317 the Convolution Radial Basis Function (CRBF) network make a study of effectiveness through the benchmark problem

Masao Arakawa, Satoshi Kitayama, Ryousuek Iwatani, 2011 .

Automatic Setting of Product Limit Line by Using Data Envelopment Analysis and Its Application

Masao Arakawa, Tomoki Mitani, 2004 .

Verification of archive of analysis result and building block effect in Genetic Algorithm

Masao Arakawa, Takuya Hyono, 2013, 2013 IEEE International Conference on Mechatronics and Automation.

Optimal control of nonlinear system on the time series using RBF network

Masao Arakawa, Yoshihiro Fukuoka, 2013, 2013 IEEE International Conference on Mechatronics and Automation.

Data extraction from low reliability data which used the fuzzy number

Masao Arakawa, Hiroshi Ishikawa, Shogo Nakao, 2003 .

Nonlinear Mixed Variable Optimum Design Applying Adaptive Range Genetic Algorithms.

Masao Arakawa, Ichiro Hagiwara, 1998 .

0418 Sequential Approximate Multi-objective Optimization Using Radial Basis Function network

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2013 .

Mapping with Data Envelopment Analysis and Evaluation of Technical Trends and Similarities

Masao Arakawa, Satoshi Kitayama, Toshiro Yagi, 2012 .

Approximation Optimization Using RBF and Genetic Range Genetic Algorithms : Application to constraint problems

Hirotaka Nakayama, Masao Arakawa, Hiroshi Isikawa, 2002 .

3110 An Optimal Design of Joint Stiffness on First Order Analysis (FOA) : A Modification of Optimization Method Based on Radial Basic Function Network

Masao Arakawa, Toshiaki Nakagawa, Tatsuyuki Amago, 2005 .

Development of Kansei Design System Using Image Processing

Masao Arakawa, Masahiro Ishida, Hiroyuki Kitajima, 2007 .

Foraging Strategic Genetic Algorithms to Obtain Multiple Acceptable Designs

Masao Arakawa, Ichiro Hagiwara, Hiroshi Yamakawa, 1999 .

Robust Optimal Operation for Building HVAC Systems with Uncertainty in Demand Prediction

Hirotaka Nakayama, Masao Arakawa, Satoshi Kitayama, 2014 .

Kansei engineering research of architecture design and eye movement information

Masao Arakawa, Wataru Shiraki, Yukihiro Matsubara, 2000 .

3411 Development of Approximate Mulit-Objective Optimization Using Convolute RBF

Masao Arakawa, 2007 .

Intelligent multi-objective model predictive control applied to steam turbine start-up

Masao Arakawa, Yeboon Yun, Masakazu Shirakawa, 2018 .

1202 Consideration of Compatible Convolute RBF

Masao Arakawa, 2012 .

2216 Development of Agent based PSO

Masao Arakawa, Satoshi Kitayama, 2006 .

K-0203 Development of Genetic Algorithms for Optimal Product Process Management

Masao Arakawa, Hiroshi Ishikawa, Ichiro Miura, 2001 .

2511 Consideration of Effect of Zooming in Surrogate Optimization

Masao Arakawa, 2015 .

An Optimal Design of Joint Stiffness on First Order Analysis (FOA) : A Trial of Optimization Method Based on Radial Basic Function Network

Masao Arakawa, Toshiaki Nakagawa, Tatsuyuki Amago, 2004 .

An attempt at practical use of approximate optimization using RBF network

Hirotaka Nakayama, Masao Arakawa, Takaharu Shirai, 2003 .

1302 Scheme for Setting Basis for Convolute RBF

Masao Arakawa, Satoshi Kitayama, 2013 .

2316 Robust Design Using Fuzzy Number Operation

Masao Arakawa, Hiroshi Yamakawa, Kyosuke Imura, 2011 .

Simple Estimate of the Width in the Gaussian Kernel with Adaptive Scaling Technique

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2010 .

2412 Multi-Objective Particle Swarm Optimization Considering the Diversity of the inferior solutions

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2007 .

2101 Adaptive Range Genetic Algorithms for Scheduling Problem

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2001 .

1407 Creative Team Making By Using Multi-Objective Optimization

Masao Arakawa, Tsuyoshi Kawasaki, 2010 .

1209 A Study on 3D Location Estimation Method using Levenberg-Marquardt Algorithm for UWB Real-Time Location Systems

Masao Arakawa, Kazuya Shoda, Masashi Morikawa, 2012 .

Preface to the Special Issue on Application of Optimization in Industry

Masao Arakawa, 2014 .

A study on multicriteria structural optimum design using qualitative reasoning

Masao Arakawa, Hiroshi Yamakawa, 1991 .

3403 Optimization based on Prediction of Objective Function by Computational Intelligence

Hirotaka Nakayama, Masao Arakawa, Rie Sasaki, 2001 .

Application of Particle Swarm Optimization to the Mixed Discrete Non-Linear Problems

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2005, AIAI.

Optimization with Implicitly Known Objective Functions Using RBF Networks and Genetic Algorithms

Hirotaka Nakayama, Masao Arakawa, Rie Sasaki, 2001 .

1212 Verification of archive of analysis result and building block effect in Genetic Algorithm

Masao Arakawa, Takuya Hyono, 2012 .

RBFネットワークによる多目的逐次近似最適化(機械力学,計測,自動制御)

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2010 .

Sequential approximate optimization for discrete design variable problems using radial basis function network

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2012, Appl. Math. Comput..

Using support vector machines in optimization for black-box objective functions

Hirotaka Nakayama, Masao Arakawa, K. Washino, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

1210 Proposal of Discrete Differential Evolution

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2012 .

3410 Approximate Optimization of Foot Support

Masao Arakawa, Shin-ichiro Miyake, Suguru Nakao, 2007 .

2106 Searching of Robust Solution by Using Multi-Peak Method

Masao Arakawa, 2014 .

2105 Proposal of Setting Basis Function in Convolute RBF

Masao Arakawa, Satoshi Kitayama, 2014 .

1920 Approximate Multi-Objective Optimization Using RBF Network

Masao Arakawa, Hirotaka Nakayama, Takaharu Shirai, 2005 .

1403 Least-Squares Support Vector Machine

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2010 .

Trade-Off Analysis on the Multi-Objective Design Optimization(Mechanical Systems)

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2009 .

Adaptive Range Particle Swarm Optimization to Find Multiple Optima(Mechanical Systems)

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2009 .

1105 Examine of the experimental learning algorithm using RBF Network

Masao Arakawa, Yoshihiro Fukuoka, 2014 .

Approximate Multi-Objective Optimization of Medical Foot Support: Case of 3D Shape Optimization

Masao Arakawa, Shin-ichiro Miyake, Suguru Nakao, 2009 .

Revision of Adaptive Range Genetic Algorithms

Masao Arakawa, Tetsuro Butsuen, Takahiro Fujii, 2018 .

Data Envelopment Analysis in Multicriteria Decision Making

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2003 .

Optimization of Unknown Objective Functions by RBF Networks and Genetic Algorithms

Hirotaka Nakayama, Masao Arakawa, Rie Sasaki, 2000 .

Effectiveness of Optimization of Scheduling Buffer

Masao Arakawa, Tomoki Mitani, 2014 .

Development of genetic range genetic algorithms (3rd report, proposal of fitness function to search multiple local optima)

Masao Arakawa, Tomoyuki Miyashita, Hiroshi Ishikawa, 2004 .

Intelligent Start-Up Schedule Optimization System for a Thermal Power Plant

Hirotaka Nakayama, Masao Arakawa, Masakazu Shirakawa, 2007 .

Proposal of Discrete Differential Evolution(Machine Elements, Design and Manufacturing)

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2010 .

Proposal of Adaptive Range Differential Evolution

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2013 .

Wireless Power Supply for All-in-one LTCC Packaged Sensor Nodes Applicable to Infrastructure Monitoring

Masao Arakawa, Jian Lu, Lan Zhang, 2017 .

2409 Development of Multi-Swarms Agent PSO

Masao Arakawa, Satoshi Kitayama, Kazuya Shoda, 2007 .

Derivation of Qualitative Sensitivities Using Existing Optimum Design Results of Simple Structures

Masao Arakawa, Hiroshi Yamakawa, 1997 .

Estimation of Production Preparation Time by Using Data Envelopment Analysis

Masao Arakawa, Tomoki Mitani, 2013 .

Integrated Optimizing System Using RBF and GA

Masao Arakawa, Hirotaka Nakayama, Hiroshi Isikawa, 2002 .

Recommendation of Sampling Data In Sequential Approximation Optimization Using Convolute RBF

Masao Arakawa, Satoshi Kitayama, S. Kitayama, 2012 .

Foraging Strategic Genetic Algorithms to Obtain Multiple Acceptable Designs.

Masao Arakawa, Ichiro Hagiwara, Hiroshi Yamakawa, 1998 .

Reconsideration of Adaptive Range Genetic Algorithms

Masao Arakawa, 2006 .

Trial for Quantifing Kansei by Using Image Processing

Masao Arakawa, Hiroyuki Kitajima, Takateru Matsunaga, 2001 .

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

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2000 .

Construction of simulation database for effective evacuation in emergency

Masao Arakawa, Hitoshi Inomo, Haruki Aritomo, 2007 .

3408 Approximate Multi-objective Optimization of Buffer in Job Scheduling

Masao Arakawa, Tomoki Mitani, 2007 .

1204 Visualization of Multi-objective Optimization Data Set by Using DEA Mapping

Masao Arakawa, Yusuke Imataki, 2012 .

Consideration of Design Instruction by Using DEA

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2001 .

2206 Sequential Approximate Multi-Objective Optimization Using RBF Network

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2011 .

Accuracy in Surrogate Optimization in Large Scale Datum

Masao Arakawa, Tetsuro Butsuen, 2018 .

Approximate Multi-objective Optimization of Medical Foot Support

Masao Arakawa, 2008 .

2202 Engineering Design using Generalized Data Envelopment Analysis

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2001 .

1211 The study of the hub airport location problem that using Ant colony optimization

Masao Arakawa, Kazuki Sawai, 2012 .

2213 Sparse Algorithm for RBF Approximation

Masao Arakawa, Akira Andatsu, 2006 .

2109 Development of prediction of machine error by using RBF network

Masao Arakawa, Hiroshi Ishikawa, Nobuyuki Kimura, 2001 .

1408 Approximate Multi-Objective Optimization By Using DEA

Masao Arakawa, Satoshi Kitayama, S. Kitayama, 2010 .

2307 Development of Multi-Objective Agent PSO

Masao Arakawa, Satoshi Kitayama, Kazuya Shoda, 2008 .

Development of Calibration System of Fixed Points in 3D Positioning

Masao Arakawa, Tetsuro Butsuen, 2017 .

Multi-Objective Optimization System for Plant Layout Design : 1st Report, Genetic Algorithm Approach for Designing Layout of Plot Plan for Power Plants(Machine Elements, Design and Manufacturing)

Hirotaka Nakayama, Masao Arakawa, Masakazu Shirakawa, 2010 .

Special Issue "Fuzzy/Neural Network Applications to Dynamics and Control of Mechanical Systems". A Study on Optimum Design Using Fuzzy Numbers as Design Variables. 2nd Report, Development of Simple Fuzzy Number Operation and Its Application.

Masao Arakawa, Hiroshi Yamakawa, 1992 .

Failure prediction of the diesel engine by using RBF network

Masao Arakawa, Hiroshi Ishikawa, Hiroaki Tanaka, 2003 .

1220 Sequential Approximate Optimization Using RBF Network

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2008 .

Differential evolution as the global optimization technique and its application to structural optimization

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2011, Appl. Soft Comput..

3409 Optimal Control of Nonlinear system using RBF Networks

Masao Arakawa, Akira Andatsu, 2007 .

Approximate Optimization Using RBF Network and Genetic Range Genetic Algorithms : Usage and consideration of recommendation function

Hirotaka Nakayama, Masao Arakawa, Thdaharu Shirai, 2004 .

2305 Development of medical arch support by using approximate multi-objective optimization

Masao Arakawa, Shin-ichiro Miyake, Suguru Nakao, 2008 .

Research on efficiency improvement by parameter adjustment in large-scale problem optimization

Masao Arakawa, Akinori Kubo, 2017 .

Study on derivating qualitative sensitivities from experimental results and qualitative optimization

Masao Arakawa, Hiroshi Yamakawa, Takahisa Kato, 1995 .

A Computational Intelligence Approach to Optimization with Unknown Objective Functions

Hirotaka Nakayama, Masao Arakawa, Rie Sasaki, 2001, ICANN.

Additional Learning in Computational Intelligence and its Applications to Risk Management Problems

Kohei Furukawa, Hirotaka Nakayama, Masao Arakawa, 2005 .

Multi-objective evaluation method for combined cycle power plant start-up

Masao Arakawa, Masakazu Shirakawa, M. Arakawa, 2020, IFAC J. Syst. Control..

Multi-objective Optimization Using Genetic Range Genetic Algorithms

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2002 .

2311 Trade-Off Analysis on the Multi-Objective Design Optimization

Masao Arakawa, Hiroshi Yamakawa, Koetsu Yamazaki, 2008 .

1916 Adaptive Range Particle Swarm Optimization

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2005 .

INTELLIGENT START-UP SCHEDULE OPTIMIZATION SYSTEM FOR A THERMAL POWER PLANT

Kensuke Kawai, Hirotaka Nakayama, Masao Arakawa, 2006 .

Approximate Optimization Using RBF Network and Genetic Range Genetic Algorithms (Proposal of Base Function and Basic Consideration)

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2004 .

Practical Approach to Outlier Detection Using Support Vector Regression

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

Approximate Optimization Using Radial Basis Function Networks and Genetic Range Genetic Algorithms

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2004 .

Optimization for Black-box Objective Functions

Hirotaka Nakayama, Masao Arakawa, Koji Washino, 2006 .

Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating Plants

Kensuke Kawai, Hirotaka Nakayama, Masao Arakawa, 2005, WSTST.

Direct Identification Method Using Fuzzy Numbers.

Masao Arakawa, Hiroshi Yamakawa, 1992 .

Multi-Objective Optimization Formulation to Make Creative Teams in Teamology

Masao Arakawa, 2010 .

Proposal of Robust Design by Assuming Worst Case

Masao Arakawa, Hiroshi Yamakawa, 2016 .

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..

2202 Sequential Approximate Multi-objective Optimization Using Radial Basis Function network

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2012 .

Approximate Optimization using RBF-Networks and Genetic Algorithms

Hirotaka Nakayama, Masao Arakawa, Rie Sasaki, 2001 .

A Study on Methodology to Make Team: Methodology — Phase II

Masao Arakawa, Yoichi Sugimoto, Masahiko Ishimaru, 2017 .

Application of RBF Netwoak in Approximate Optimization in Satisficing Method

Masao Arakawa, Hirotaka Nakayama, Takaharu Shrai, 2004 .

Experimental identification on natural frequency of structure using multi-objective optimizing method

Masao Arakawa, Toshiaki Hirate, Masayuki Ichimonji, 2016 .

Experimental identification on natural frequency of structure using multi-objective optimizing method

Masao Arakawa, Toshiaki Hirate, Masayuki Ichimonji, 2017 .

Adaptive range particle swarm optimization

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2006 .

Development of range-exploring genetic algorithm

Masao Arakawa, Tetsuro Butsuen, Takahiro Fujii, 2019 .

A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2005, System Modelling and Optimization.

A Study on Structural Optimum Design Based on Qualitative Sensitivities

Masao Arakawa, Hiroshi Yamakawa, 1993 .

Uniform magnetic field in the bending magnet for the compact proton synchrotron

Masao Arakawa, Yasuyuki Miyauchi, M. Arakawa, 2004 .

Development of Adaptive Range Genetic Algorithms. Proposal of the New Operators for Efficient and High Accurate Solutions.

Masao Arakawa, Ichiro Hagiwara, 1999 .

Genetic Range Genetic Algorithms to Obtain Quasi-Optimum Solutions

Masao Arakawa, Tomoyuki Miyashita, Hiroshi Ishikawa, 2003, DAC 2003.

GENERATION OF PARETO FRONTIERS USING SUPPORT VECTOR MACHINE

Hirotaka Nakayama, Masao Arakawa, Yeboon Yun, 2004 .

Study on optimum design using fuzzy numbers as design variables

Masao Arakawa, Hiroshi Yamakawa, H. Yamakawa, 1995 .

APPROXIMATE OPTIMIZATION OF CONSTRAINT PROBLEM USINGT RADIAL BASIS FUNCTION AND SELF-ORGANIZING MAPS

Hirotaka Nakayama, Masao Arakawa, Hiroshi Ishikawa, 2000 .

Adaptive range particle swarm optimization

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2009 .

Sequential approximate multi-objective optimization using radial basis function network

Masao Arakawa, Koetsu Yamazaki, Satoshi Kitayama, 2013 .

Cylindrical Pneumatic Membrane Structures Subject to Wind

Masao Arakawa, Yoshiyuki Yokoyama, Haruo Kunieda, 1981 .

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.

Robust Design Using Fuzzy Numbers : Consideration of Correlation of design variables

Masao Arakawa, Hiroshi Yamakawa, Hiroshi Ishikawa, 2001 .

Study on the optimum design applying qualitative reasoning

Masao Arakawa, Hiroshi Yamakawa, 1990 .

Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range

Masao Arakawa, M. Arakawa, Hiroshi Ishikawa, 2002, DAC 2002.

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).