Reactive Search Optimization

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Bol Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Reactive search optimization (RSO), like all local search techniques, is applied to the problem of finding the optimal configuration of a system; such configuration is usually composed of continuously or discretely varying parameters, while the optimality criterion is a numerical value associated to each configuration. In most cases, an optimization problem can be reduced to finding the (global) minimum of a function whose arguments are the configuration parameters, seen as free variables in the function's domain space.

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Reactive search optimization (RSO), like all local search techniques, is applied to the problem of finding the optimal configuration of a system; such configuration is usually composed of continuously or discretely varying parameters, while the optimality criterion is a numerical value associated to each configuration. In most cases, an optimization problem can be reduced to finding the (global) minimum of a function whose arguments are the configuration parameters, seen as free variables in the function's domain space.


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