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Reactive Search Optimization: Simulated Annealing, Global Optimization, Genetic Algorithm, Randomized Algorithm, Metaheuristic, Computing, Information Technology, Annealing

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Reactive Search Optimization: Simulated Annealing, Global Optimization, Genetic Algorithm, Randomized Algorithm, Metaheuristic, Computing, Information Technology, Annealing

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    Available in PDF Format | Reactive Search Optimization: Simulated Annealing, Global Optimization, Genetic Algorithm, Randomized Algorithm, Metaheuristic, Computing, Information Technology, Annealing.pdf | Unknown
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High Quality Content by WIKIPEDIA articles! 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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  • PDF | 80 pages
  • Unknown
  • Betascript Publishing
  • Unknown
  • 5
  • Science Math
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