Penalty alternating direction methods for mixed-integer optimal control with combinatorial constraints
نویسندگان
چکیده
Abstract We consider mixed-integer optimal control problems with combinatorial constraints that couple over time such as minimum dwell times. analyze a lifting and decomposition approach into problem without for the in space. Both can be solved very efficiently existing methods outer convexification sum-up-rounding strategies linear programming techniques. The coupling is handled using penalty-approach. provide an exactness result penalty which yields solution convergences to partial minima. compare quality of these dedicated points those other heuristics amongst academic example also optimization electric transmission lines switching network topology flow reallocation order satisfy demands.
منابع مشابه
Penalty Alternating Direction Methods for Mixed-Integer Optimization: A New View on Feasibility Pumps
Feasibility pumps are highly effective primal heuristics for mixedinteger linear and nonlinear optimization. However, despite their success in practice there are only few works considering their theoretical properties. We show that feasibility pumps can be seen as alternating direction methods applied to special reformulations of the original problem, inheriting the convergence theory of these ...
متن کاملOptimal Alternating Direction Implicit Preconditioners for Conjugate Gradient methods
The (Extrapolated) Alternating Direction Implicit Preconditioners for the class of Conjugate Gradient Methods are applied for the solution of the second order elliptic equation in a rectangle under Dirichlet boundary conditions. The PDE is approximated by uniform meshes of 5− and 9−point difference schemes and analytic expressions for the optimal acceleration and extrapolation parameters are ob...
متن کاملOptimal Control with Fuzzy Chance Constraints
In this paper, a model of an optimal control problem with chance constraints is introduced. The parametersof the constraints are fuzzy, random or fuzzy random variables. Todefuzzify the constraints, we consider possibility levels. Bychance-constrained programming the chance constraints are converted to crisp constraints which are neither fuzzy nor stochastic and then the resulting classical op...
متن کاملVARIATIONAL DISCRETIZATION AND MIXED METHODS FOR SEMILINEAR PARABOLIC OPTIMAL CONTROL PROBLEMS WITH INTEGRAL CONSTRAINT
The aim of this work is to investigate the variational discretization and mixed finite element methods for optimal control problem governed by semi linear parabolic equations with integral constraint. The state and co-state are approximated by the lowest order Raviart-Thomas mixed finite element spaces and the control is not discreted. Optimal error estimates in L2 are established for the state...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Programming
سال: 2021
ISSN: ['0025-5610', '1436-4646']
DOI: https://doi.org/10.1007/s10107-021-01656-9