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2022 年度 実施状況報告書

New-generation optimization algorithms for engineering

研究課題

研究課題/領域番号 21K17710
研究機関九州大学

研究代表者

Themelis Andreas  九州大学, システム情報科学研究院, 准教授 (50898749)

研究期間 (年度) 2021-04-01 – 2024-03-31
キーワードOptimization algorithms / Nonconvex optimization / Adaptive algorithms
研究実績の概要

The candidate established a new collaboration with the University of British Columbia (CA), including in the discussion a PhD student under his co-supervision that resulted in the preprint [1]. In addition, he has been invited for visiting periods at the Tokyo Institute of Technology (December 2022), the University of Pisa (scheduled for May 2023), and the Chongqing Normal University (scheduled for August 2023). His research trend continues along the lines of the previous year, with additional focus on linesearch-free methods for convex optimization [2] and (convex) optimization for power-grid expansion planning [4]. As in the past, a first inquiry in the convex realm is meant to serve as foundation for potential nonconvex extensions, ultimate target of the proposal.

[1] Z Wang, AT, H Ou, and X Wang. A mirror inertial forward-reflected-backward splitting: Global convergence and linesearch extension beyond convexity and Lipschitz smoothness, arXiv:2212.01504, 2022
[2] P Latafat, AT, L Stella, and P Patrinos. Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient, arXiv:2301.04431, 2023
[3] S Hardy, AT, K Yamamoto, H Ergun, and D Van Hertem. Optimal grid layouts for hybrid offshore assets in the North Sea under different market designs, arXiv:2301.00931, 2023

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

As mentioned in the future plans section, the only promised goal that the candidate missed is the writing of an extended monograph. This change of plan was prompted by a more pressing urge to tie new international collaborations and produce novel publications, all successfully achieved in the candidate's opinion, whereas the monograph is meant to cover already established material with previous co-authors. Furthermore, the previously halted software development is now being handled by international collaborators who take care of simulations in co-authored papers and keep publicly available open-source code up to date with the most recent findings.

今後の研究の推進方策

Differently from what intended at the beginning of last year, the candidate put on halt the writing of the extended monograph for the Foundations and Trends in Optimization and gave priority to the establishment of new collaborations and the development of novel publications. Having succeeded in publishing and submitting a considerable amount of novel material, he believes that the halted project can now resume without impediments.

次年度使用額が生じた理由

Only very recently have all the traveling limitations due to COVID been waived, and travelling has admittedly been harder than anticipated this year. Because of this I also refrained from both visiting and inviting international researchers for collaborations, and my only exchanges in person have been through domestic visits (Tokyo, December 2022). Now that said constraints have fully been lifted, I am already planning to host collaborators (from Germany, and possibly Belgium) and visit existing ones in China (Chonqing National University).

  • 研究成果

    (13件)

すべて 2022 その他

すべて 国際共同研究 (3件) 雑誌論文 (5件) (うち国際共著 5件、 査読あり 5件、 オープンアクセス 1件) 学会発表 (5件) (うち国際学会 2件、 招待講演 3件)

  • [国際共同研究] KU Leuven(ベルギー)

    • 国名
      ベルギー
    • 外国機関名
      KU Leuven
  • [国際共同研究] UniBw Munich(ドイツ)

    • 国名
      ドイツ
    • 外国機関名
      UniBw Munich
  • [国際共同研究] University of British Columbia(カナダ)

    • 国名
      カナダ
    • 外国機関名
      University of British Columbia
  • [雑誌論文] Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type algorithms2022

    • 著者名/発表者名
      A. Themelis, L. Stella and P. Patrinos
    • 雑誌名

      Computational Optimization and Applications

      巻: 82 ページ: 395-440

    • DOI

      10.1007/s10589-022-00366-y

    • 査読あり / 国際共著
  • [雑誌論文] Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity: A Convergence and Robustness Analysis of PANOC2022

    • 著者名/発表者名
      A. De Marchi and A. Themelis
    • 雑誌名

      Journal of Optimization Theory and Applications

      巻: 194 ページ: 771-794

    • DOI

      10.1007/s10957-022-02048-5

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity2022

    • 著者名/発表者名
      P. Latafat, A. Themelis, M. Ahookhosh and P. Patrinos
    • 雑誌名

      SIAM Journal on Optimization

      巻: 32 ページ: 2230-2262

    • DOI

      10.1137/21M140376X

    • 査読あり / 国際共著
  • [雑誌論文] Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC2022

    • 著者名/発表者名
      A. Nag, S. Huang, A. Themelis and Yamamoto, Kaoru
    • 雑誌名

      IEEE Conference on Control Technology and Applications

      巻: - ページ: 1135-1140

    • DOI

      10.1109/CCTA49430.2022.9966067

    • 査読あり / 国際共著
  • [雑誌論文] Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC2022

    • 著者名/発表者名
      H. Ou, A. Themelis, T. Yuno and T. Kawabe
    • 雑誌名

      SICE International Symposium on Control Systems

      巻: - ページ: 34-38

    • DOI

      10.23919/SICEISCS54350.2022.9754372

    • 査読あり / 国際共著
  • [学会発表] inertia and relative smoothness in nonconvex minimization a case study on the forward-reflected-backward algorithm2022

    • 著者名/発表者名
      Andreas Themelis
    • 学会等名
      International Workshop on Continuous Optimization
    • 国際学会 / 招待講演
  • [学会発表] Splitting algorithms for nonconvex optimization: Unified analysis and Newton-type acceleration2022

    • 著者名/発表者名
      Andreas Themelis
    • 学会等名
      NPU Optimization Seminar
    • 国際学会 / 招待講演
  • [学会発表] Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC2022

    • 著者名/発表者名
      Hongjia Ou
    • 学会等名
      2022 SICE International Symposium on Control Systems
  • [学会発表] Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC2022

    • 著者名/発表者名
      Kaoru Yamamoto
    • 学会等名
      2022 IEEE Conference on Control Technology and Applications
    • 招待講演
  • [学会発表] Deadlock avoidance for robot navigation with potential field method in an unknown environment2022

    • 著者名/発表者名
      Ryota Kubo
    • 学会等名
      Japan Joint Automatic Control Conference

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公開日: 2023-12-25  

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