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- W88694533 abstract "When applying sequential optimization strategies, only a few experiments are initially performed, and their results are used to define the next experiment(s). In this chapter, different sequential optimization methods are discussed. Both the approaches based on the Fibonacci numbers and the simplex methods are explained. For the latter, two possibilities, that is, the (basic) simplex and the modified simplex methods, are explained, discussed, and clarified with examples from the literature. Also several modifications to the simplex procedures are reviewed. Finally, some mixed sequential–simultaneous optimization approaches, such as the steepest ascent method and the evolutionary operation, are discussed." @default.
- W88694533 created "2016-06-24" @default.
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- W88694533 date "2009-01-01" @default.
- W88694533 modified "2023-10-16" @default.
- W88694533 title "Sequential Optimization Methods" @default.
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- W88694533 doi "https://doi.org/10.1016/b978-044452701-1.00036-3" @default.
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