Penalty alternating direction methods for mixed-integer optimal control with combinatorial constraints

被引:5
|
作者
Goettlich, Simone [1 ]
Hante, Falk M. [2 ]
Potschka, Andreas [3 ]
Schewe, Lars [4 ]
机构
[1] Univ Mannheim, Mannheim, Germany
[2] Humboldt Univ, Unter Linden 6, D-10099 Berlin, Germany
[3] Tech Univ Clausthal, Inst Math, Erzstr 1, D-38678 Clausthal Zellerfeld, Germany
[4] Univ Edinburgh, Sch Math, James Clerk Maxwell Bldg,Peter Guthrie Tait Rd, Edinburgh EH9 3FD, Midlothian, Scotland
关键词
Mixed-integer optimization; Partial differential equations; Dwell-time constraints; Alternating direction methods; Penalty methods; PARTIAL OUTER CONVEXIFICATION; RELAXATION METHODS; OPTIMIZATION; FLOW;
D O I
10.1007/s10107-021-01656-9
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We consider mixed-integer optimal control problems with combinatorial constraints that couple over time such as minimum dwell times. We analyze a lifting and decomposition approach into a mixed-integer optimal control problem without combinatorial constraints and a mixed-integer problem for the combinatorial constraints in the control space. Both problems can be solved very efficiently with existing methods such as outer convexification with sum-up-rounding strategies and mixed-integer linear programming techniques. The coupling is handled using a penalty-approach. We provide an exactness result for the penalty which yields a solution approach that convergences to partial minima. We compare the quality of these dedicated points with those of other heuristics amongst an academic example and also for the optimization of electric transmission lines with switching of the network topology for flow reallocation in order to satisfy demands.
引用
收藏
页码:599 / 619
页数:21
相关论文
共 50 条
  • [31] pycombina: An Open-Source Tool for Solving Combinatorial Approximation Problems Arising in Mixed-Integer Optimal Control
    Buerger, Adrian
    Zeile, Clemens
    Hahn, Mirko
    Altmann-Dieses, Angelika
    Sager, Sebastian
    Diehl, Moritz
    IFAC PAPERSONLINE, 2020, 53 (02): : 6502 - 6508
  • [32] On the use of mixed-integer linear programming for predictive control with avoidance constraints
    Maia, Marcelo H.
    Galvao, Roberto K. H.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2009, 19 (07) : 822 - 828
  • [33] Evolutionary Mixed-Integer Optimization with Explicit Constraints
    Hong, Yuan
    Arnold, Dirk V.
    PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023, 2023, : 822 - 830
  • [34] Combinatorial benders' cuts for mixed-integer linear programming
    Codato, Gianni
    Fischetti, Matteo
    OPERATIONS RESEARCH, 2006, 54 (04) : 756 - 766
  • [35] Integer Tree-Based Search and Mixed-Integer Optimal Control of Distribution Chain
    Alessandri, A.
    Gaggero, M.
    Tonelli, F.
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 489 - 494
  • [36] Efficient upper and lower bounds for global mixed-integer optimal control
    Sebastian Sager
    Mathieu Claeys
    Frédéric Messine
    Journal of Global Optimization, 2015, 61 : 721 - 743
  • [37] Multiphase mixed-integer nonlinear optimal control of hybrid electric vehicles
    Robuschi, Nicolo
    Zeile, Clemens
    Sager, Sebastian
    Braghin, Francesco
    AUTOMATICA, 2021, 123
  • [38] Lipschitz continuity of the value function in mixed-integer optimal control problems
    Martin Gugat
    Falk M. Hante
    Mathematics of Control, Signals, and Systems, 2017, 29
  • [39] On the Mixed-Integer Linear-Quadratic Optimal Control With Switching Cost
    De Marchi, Alberto
    IEEE CONTROL SYSTEMS LETTERS, 2019, 3 (04): : 990 - 995
  • [40] Lipschitz continuity of the value function in mixed-integer optimal control problems
    Gugat, Martin
    Hante, Falk M.
    MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2017, 29 (01)