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This paper presents an extensive evaluation of reservoir computing for the case of classification problems that do not depend on time.We discuss how it is possible to adapt the reservoir approach to learning for the case of static classification problems. Then we present a set of experiments against K-PLS, MLP with entropic cost function and LS-SVM showing that this approach is quite competitive and...
Two chromosome encoding methods are compared for finding solutions to the nondeterministic polynomial-time hard flexible bay facilities layout problem via genetic algorithm (GA). Both methods capitalize on the random key GA approach to produce chromosomes that are viable for any combination of allele values. In addition, the effect of four problem-specific mutation methods is assessed for one of the...
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