Inhaltsangabe
This title describes techniques newly available in SAS to find global optima using intelligent search techniques that are modeled after biological or physical processes. These techniques are flexible and robust, and are applicable to problems where traditional calculus-based methods do not apply or are too difficult or complicated. With these procedures, you can solve combinatorial problems, nonlinear function optimization problems, mixed integer problems, sequencing problems, and multiple objective Pareto optimization problems. This title serves as the primary documentation for the new 9.1 Genetic Algorithms procedure, which utilizes genetic algorithms to find optimal solutions to a variety of problems. This title is for end users who have experience with SAS and some familiarity with mathematical optimization techniques.
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