Hideki Katagiri

ORCID: 0000-0002-3627-8093
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About
Contact & Profiles
Research Areas
  • Multi-Criteria Decision Making
  • Optimization and Mathematical Programming
  • Fuzzy Systems and Optimization
  • Vehicle Routing Optimization Methods
  • Optimization and Variational Analysis
  • Risk and Portfolio Optimization
  • Facility Location and Emergency Management
  • Advanced Manufacturing and Logistics Optimization
  • Transportation Planning and Optimization
  • Metaheuristic Optimization Algorithms Research
  • Opinion Dynamics and Social Influence
  • Scheduling and Optimization Algorithms
  • Optimization and Packing Problems
  • Transportation and Mobility Innovations
  • Evolutionary Algorithms and Applications
  • Industrial Vision Systems and Defect Detection
  • Game Theory and Applications
  • Robotic Path Planning Algorithms
  • Data Management and Algorithms
  • Reliability and Maintenance Optimization
  • Complex Network Analysis Techniques
  • Supply Chain and Inventory Management
  • Advanced Optimization Algorithms Research
  • Satellite Communication Systems
  • Neural Networks and Applications

Osaka University
2000-2023

Kanagawa University
2016-2023

Institute of Industrial Engineering
2022-2023

Waseda University
2023

Tokai University
2023

Kindai University
2023

Hiroshima University
2007-2016

Hiroshima University of Economics
2015

Hiroshima Institute of Technology
2012

Doshisha University
2010

Recently, many methods of evolutionary computation such as genetic algorithm (GA) and programming (GP) have been developed a basic tool for modeling optimizing complex systems. Generally speaking, GA has the genome string structure, while in GP is tree structure. Therefore, suitable constructing complicated programs, which can be applied to real world problems. However, might sometimes difficult search solution because its bloat. A novel method named Genetic Network Programming (GNP), whose...

10.1109/cec.2001.934337 article EN 2002-11-13

Recently many studies have been made on the automatic design of complex systems using evolutionary optimization techniques such as genetic algorithms (GA), evolution strategy (ES), programming (EP) and (GP). It is generally recognized that these are very useful for optimizing fairly generation intelligent behavior sequences robots. A new method, network (GNP), proposed in order to acquire efficiently. GNP composed plural nodes agents execute simple judgment/processing they connected with...

10.1109/icsmc.2000.886607 article EN 2002-11-08

10.1016/j.ejor.2007.04.003 article EN European Journal of Operational Research 2007-04-19

10.1016/s0377-2217(01)00074-1 article EN European Journal of Operational Research 2002-05-01

10.1016/s0165-0114(98)00456-4 article EN Fuzzy Sets and Systems 2000-04-01
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