New-generation optimization algorithms for engineering

新一代工程优化算法

• 批准号: 21K17710
• 负责人: Themelis Andreas
• 金额: $ 2万
• 依托单位: Kyushu University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K17710/
• 关键词: Optimization algorithms; Nonconvex optimization; Adaptive algorithms; Autonomous driving; Decentralized control; Open-source software

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

候选人与不列颠哥伦比亚省（CA）大学建立了新的合作关系，其中包括在他的共同监督下的一名博士生的讨论，这导致了预印本[1]。此外，彼亦曾应邀访问东京工业大学（2022年12月）、比萨大学（计划于2023年5月）及重庆师范大学（计划于2023年8月）。他的研究趋势继续沿着前一年的路线，额外关注凸优化[2]和电网扩展规划[4]的（凸）优化的无线搜索方法。和过去一样，在凸领域的第一次调查是为了作为潜在的非凸扩展的基础，该提案的最终目标。[1]Z Wang，AT，H Ou和X Wang。镜面惯性前向反射后向分裂：全局收敛和超越凸性和Lipschitz光滑性的线性扩展，arXiv：2212.01504，2022[2] P Latafat，AT，L Stella和P Patrinos。自适应邻近算法在局部Lipschitz连续性梯度下的凸优化，arXiv：2301.04431，2023[3] S哈代，AT，K山本，H Ergun和D货车Hertem。不同市场设计下北海混合海上资产的最佳网格布局，arXiv：2301.00931，2023

项目成果

A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima

• DOI: 10.1137/19m1264783
• 发表时间: 2019-05
• 期刊: SIAM J. Optim.
• 作者: Masoud Ahookhosh;Andreas Themelis;Panagiotis Patrinos

Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC

应用 PANOC 的最佳燃油消耗问题的 Douglas-Peucker 分段仿射近似

• DOI: 10.23919/siceiscs54350.2022.9754372
• 发表时间: 2022
• 期刊: SICE International Symposium on Control Systems
• 作者: H. Ou;A. Themelis;T. Yuno and T. Kawabe
• 通讯作者: T. Yuno and T. Kawabe

UniBw Munich(ドイツ)

慕尼黑 UniBw（德国）

Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC

• DOI: 10.1109/ccta49430.2022.9966067
• 发表时间: 2022-02
• 期刊: 2022 IEEE Conference on Control Technology and Applications (CCTA)
• 作者: Aneek Nag;Shuo Huang;Andreas Themelis;Kaoru Yamamoto

inertia and relative smoothness in nonconvex minimization a case study on the forward-reflected-backward algorithm

非凸最小化中的惯性和相对平滑度——前向反射后向算法的案例研究

• 发表时间: 2022
• 作者: M. Ahookhosh;A. Themelis;and P. Patrinos;Andreas Themelis
• 通讯作者: Andreas Themelis