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Global optimization is concerned with the computation and characterization of global optimizers of — in general — nonlinear functions. It is an important task since many real-world questions lead to global rather than local problems. Global optimization has a variety of applications including, for example, chemical process design, chip layout, planning of just-in-time manufacturing, and pooling and blending problems.
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Forst, W., Hoffmann, D. (2010). Global Optimization. In: Optimization—Theory and Practice. Springer Undergraduate Texts in Mathematics and Technology . Springer, New York, NY. https://doi.org/10.1007/978-0-387-78977-4_8
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DOI: https://doi.org/10.1007/978-0-387-78977-4_8
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