Sentence examples for optimization of problems from inspiring English sources

In this paper, after reviewing the state-of-the-art methods in robust and reliability-based design optimization of problems undergoing fluid structure interaction phenomena, a computational framework is presented that integrates a high-fidelity aeroelastic model into reliability-based design optimization.

The main conclusion in the paper is that due to the low computation time, the convex modeling approach enables optimization of problems with two or more state variables, e.g. allowing for thermal models of the components; or to include more sizing variables, e.g. sizing of the engine and the electric machine simultaneously.

The continuous versions of the optimization problems of Problems 1 and 2 are nonlinear programming problems.

The chapter considers first optimization of unconstrained problems where use of differential calculus in sufficient.

Some exponential-based decomposition methods have been developed for solving global optimization of GGP problems.

Since genetic algorithms are particularly suitable for optimization of combinatorial problems, we have used one here.

Accordingly, optimization of this problem is implemented by simulating behaviors of the three kinds of bees.

This characteristic supports GMA to find the global optima for optimization of UC problem.

Heuristic algorithms do not provide an assurance for optimization of the problem.

In this analysis, three models were used to achieve global optimization of the problem.

Thus, the global optimization of our problem by a centralized approach may be even more difficult and intractable.