1. Penalty alternating direction methods for mixed-integer optimal control with combinatorial constraints
- Author
-
Lars Schewe, Falk M. Hante, Andreas Potschka, and Simone Göttlich
- Subjects
0209 industrial biotechnology ,Mathematical optimization ,021103 operations research ,Linear programming ,General Mathematics ,Numerical analysis ,0211 other engineering and technologies ,02 engineering and technology ,Optimal control ,Network topology ,Maxima and minima ,020901 industrial engineering & automation ,Flow (mathematics) ,Optimization and Control (math.OC) ,FOS: Mathematics ,49J15, 49J20, 65K05, 90C11 ,Heuristics ,Mathematics - Optimization and Control ,Software ,Integer (computer science) ,Mathematics - Abstract
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.
- Published
- 2021