Ivorra, Benjamín Pierre PaulRamos Del Olmo, Ángel ManuelMohammadi, B.2023-06-202023-06-2020070022-323910.1007/s10957-007-9251-8https://hdl.handle.net/20.500.14352/50288This 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.engjournal articlehttp://www.springerlink.com/content/4243535816624737/fulltext.pdfhttp://www.springerlink.comrestricted access519.8Global optimizationSemideterministic algorithmGenetic algorithmOptimal control problemBurgers equationInvestigación operativa (Matemáticas)1207 Investigación Operativa