New computer methods for global optimization
New computer methods for global optimization
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
MISER3: solving optimal control problems—an update
Advances in Engineering Software
Recent advances in global optimization
Recent advances in global optimization
Application of automatic differentiation to optimal control problems
Computational optimal control
OCCAL: a mixed symbolic-numeric Optimal Control CALculator
Computational optimal control
Optimal strategies for the control of a train
Automatica (Journal of IFAC)
Aspiration Based Simulated Annealing Algorithm
Journal of Global Optimization
Brief Control parametrization enhancing technique for optimal discrete-valued control problems
Automatica (Journal of IFAC)
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In this paper, we propose a new approach to solve a class of optimal control problems involving discrete-valued system parameters. The basic idea is to formulate a problem of this type as a combination of a discrete global optimization problem and a standard optimal control problem, and then solve it using a two-level approach. Numerical results show that the proposed method is efficient and capable of finding optimal or near optimal solutions.