论文信息 - Semideterministic Global Optimization Method: Application to a Control Problem of the Burgers Equation

Semideterministic Global Optimization Method: Application to a Control Problem of the Burgers Equation

Abstract This paper has two objectives. We introduce a new global optimization algorithm reformulating optimization problems in terms of boundary-value problems. Then, we apply this algorithm to a pointwise control problem of the viscous Burgers equation, where the control weight coefficient is progressively decreased. The results are compared with those obtained with a genetic algorithm and an LM-BFGS algorithm in order to check the efficiency of our method and the necessity of using global optimization techniques.

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