Takashi Okamoto's page
Profile
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Name Takashi Okamoto
Birthday Aug. 25th, 1980
Degree Ph. D. (Engineering)
Affiliation Associate Professor
Department of Electrical and Electronic Engineering,
Graduate School of Engineering / Graduate School of Science and Engineering,
Chiba University
(Department of Electrical and Electronic Engineering, Faculty of Engineering)
E-mail
Teaching B2 Spring, Wed.: Basic Course in Probability Theory
B3 Spring, Mon.: Information Theory
B3 Fall, Fri.: Project Practice
Master Fall, Wed.: Mathematical Systems
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Theme & Interests

Optimization Method using Nonlinear Dynamics

We focus on the optimization methods using nonlinear dynamics such as chaotic dynamics. We develop new optimization methods in which search points are driven by the dynamics. Main research issues are as follows.
  • Quantitative analysis of optimization methods using nonlinear dynamics and development of new global optimization methods based on the analysis
  • Constrained optimization using Lagrangian method and chaotic optimization method
  • Development of global optimization methods and multi-objective optimization methods using synchronization phenomenon in coupled nonlinear dynamics
  • Game problem with normalized equality constraint conditions and replicator dynamics
  • Simultaneous perturbation gradient approximation and chaotic optimization method

Engineering Application of Computation Intelligence Techniques

We try to solve engineering problems using the computational intelligence techniques. Main research issues are as follows.
  • Optimization in radioactive wastes geological disposal system
  • Optimal assignment method of battery for power system
  • Recommendation engine using machine learning techniques
  • Accident detection system using machine learning techniques
  • Patient fall prediction measure planning system using machine learning techniques
  • Development of optimization benchmark problems for industrial applications
  • Growing complex network design method
  • Development of mixed integer nonlinear optimization methods for facility operation planning problems
  • Energy system optimal operational planning in smart community

Development of Computational Intelligence Techniques with Integration of Optimization and Machine Learning

We investigate optimization techniques and machine learning techniques and their integrations that are fundamental to the computational intelligence techniques. Main research issues are as follows.
  • Pareto solution visualizations and interactive methods in multi-objective optimizations
  • Analysis of multi-point type optimization methods based on gamification of the optimization problem
  • Radial basis function networks and response surface method
  • Fast solution method for network routing problem
  • Optimization (learning) algorithm for deep learning
  • PSO (Particle Swarm Optimization) and its improvements
KeyWords:
System engineering, Optimization theory, Soft-computing, Complex system, Computational intelligence, Global optimization, Chaos, Synchronization Phenomenon, Multi-point type Search Method, Continuous Game, Meta-heuristics, Replicator Dynamics, Multi-objective Optimization, Simultaneous Perturbation Gradient Approximation, Complex Network, Mixed-integer optimization, Self-organizing maps, Radial basis function networks, Selfish routing game

Our works are listed in works page (New window will open).

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Biography
Education
  • Apr. 1999 - Mar. 2003
    Baccalaureate Program
    Dept. Applied Physics & Physico-Informatics,
    Faculty of Science and Technology, Keio University
  • Apr. 2003 - Mar. 2005
    Master Course
    School of Fundamental Science and Technology,
    Graduate School of Science and Technology, Keio University
  • Apr. 2005 - Mar. 2007
    Doctoral Course, Ph. D. (Engineering)
    School of Fundamental Science and Technology,
    Graduate School of Science and Technology, Keio University
Career
Member
  • The Institute of Electronic Engineers of Japan (IEEJ)
  • The Society of Instrument and Control Engineers (SICE)
  • The Japanese Society for Evolutionary Computation
Grant-in-Aid (JSPS: Japan Society for the Promotion of Science)
(MEXT: Ministry of Education, Culture, Sports, Science and Technology, Japan)
Awards
  • Nov. 2005: SICE Systems and Information Division Best Paper Award (SSI2005)
  • Nov. 2006: SICE Systems and Information Division Encouraging Award (SSI2006)
  • Feb. 2007: SICE Young Authors Awards for Basic Research 2006
  • Sept. 2007: IEEJ Conf. on Electronics, Information and Systems Encouraging Award 2007
  • Nov. 2007: SICE Systems and Information Division Encouraging Award (SSI2007)
  • Mar. 2011: IEEJ Excellent Presentaion Award
  • Aug. 2012: SICE Best Paper Awards (Miyaji Tomoda Memorial Award)
  • Sept. 2015: FAN Symposium 2015 Excellent Paper Award (FAN2015)
(IEEJ: The Institute of Electronic Engineers of Japan)
(SICE: The Society of Instrument and Control Engineers)
Works See "works" page (New window will open)
Profile  Theme & Interests  Biography  Works  Our Department  Japanese  Go to Top