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Interactive fuzzy multiobjective decision making through global particle swarm optimization under fuzzy stochastic enverionment and its applications

Research Project

Project/Area Number 26750115
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Social systems engineering/Safety system
Research InstitutionHiroshima University

Principal Investigator

Matsui Takeshi  広島大学, 工学(系)研究科(研究院), 助教 (50512505)

Project Period (FY) 2014-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
KeywordsOR / 多目的意思決定 / 粒子群最適化 / 非線形計画法 / 多目的計画法
Outline of Final Research Achievements

In this research project, keeping up with soaring demand for multiobjective nonlinear programming which has several conflict objectives rather than single objective nonlinear one, we generalize a particle swarm optimization method for nonlinear programming problems to multiobjective one.
In addition, we expand several multiobjective nonlinear programming problems under fuzziness and randomness introducing fuzzy ambiguity and stochastic uncertainty.

Report

(3 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • Research Products

    (4 results)

All 2015 2014

All Journal Article (3 results) (of which Peer Reviewed: 3 results) Presentation (1 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Heat load prediction in district heating and cooling systems through recurrent neural networks2015

    • Author(s)
      Masatoshi Sakawa, Takeshi Matsui
    • Journal Title

      International Journal of Operational Research

      Volume: 23 Issue: 3 Pages: 284-300

    • DOI

      10.1504/ijor.2015.069623

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed
  • [Journal Article] An Interactive Fuzzy Satisficing Method for Multiobjective Linear Programming Problems with Random Fuzzy Variables Using Possibility-based Probability Model2014

    • Author(s)
      Masatoshi Sakawa, Takeshi Matsui, Hideki Katagiri
    • Journal Title

      Computational Research

      Volume: 2 Issue: 1 Pages: 5-11

    • DOI

      10.13189/cr.2014.020102

    • Related Report
      2014 Research-status Report
    • Peer Reviewed
  • [Journal Article] Interactive fuzzy stochastic multi-level 0-1 programming using tabu search and probability maximization2014

    • Author(s)
      Masatoshi Sakawa, Takeshi Matsui
    • Journal Title

      Expert Systems with Applications

      Volume: 41 Issue: 6 Pages: 2957-2963

    • DOI

      10.1016/j.eswa.2013.10.027

    • Related Report
      2014 Research-status Report
    • Peer Reviewed
  • [Presentation] Automatic Feature Point Selection through Hybrid Metaheauristics based on Tabu Search and Memetic Algorithm for Augmented Reality2015

    • Author(s)
      Takeshi Matsui, Yuichi Katagiri, Hideki Katagiri, Kosuke Kato
    • Organizer
      Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference
    • Place of Presentation
      Singapore
    • Year and Date
      2015-09-07
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research

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Published: 2014-04-04   Modified: 2017-05-10  

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