State of the Art in Global Optimization 87 2Gesetzliche Grundlagen36

2Gesetzliche Grundlagen36

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State of the Art in Global Optimization 87 2Gesetzliche Grundlagen36Optimization problems abound in most fields of science, engineering, and tech nology. In many of these problems it is necessary to compute the global optimum (or a good approximation) of a multivariable function. The variables that define the function to be optimized can be continuous and or discrete and, in addition, many times satisfy certain constraints. Global optimization problems belong to the complexity class of NP hard prob lems. Such problems