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Second, optimal problem of drift reliability-based optimization design is formulated in a dimensionless way.
An integrated Lagrangian relaxation and tabu search method is devised for approximating optimal problem solutions through an iterative optimization-evaluation process.
After linearization of optimization model, this paper solves the optimal problem by adopting a commercial package CPLEX.
In the next section we discuss the optimality conditions and spectral discretization of the optimal problem.
Firstly, under the hypothesis that the system has a periodic solution, an optimal problem of ISFC is transformed into a parameter optimization problem in an unspecified time with inequality constraints, and together with the constraint of the first arrival threshold.
We solved the optimal problem by a Matlab program that integrates the SQP optimization method with equations (21 - 27 21 - 27
In Section 2, an optimal problem of state impulse feedback control is transformed into a parameter optimization problem in an unspecified time with inequality constraint, and together with the constraint of the first arrival threshold.
A heuristic solution approach, based on simulated annealing (SA), is developed to solve the optimal problem.
It then reviews optimal problem transformation techniques and their practical application.
The planning problem is described as an optimal problem with constraints.
A solution of the optimal problem is then presented via a linear matrix inequality (LMI) formulation.
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