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Selection operator is one important operator in genetic algorithm (termed GA). It has significant influences on the performance of algorithm. Roulette wheel selection is a frequently used selection operator in implementation of GA. However it does not perform sufficiently well in balancing the convergence speed and population diversity of the algorithm. This paper proposes a novel roulette wheel selection...
In order to solve the problem of slow convergence speed of adaptive genetic algorithm (AGA) in the early stage of evolution, an improved adaptive genetic algorithm (IAGA) was presented. With the introduction of an indicator evaluating the degree of population diversity, the new algorithm can adaptively adjust the probabilities of crossover. Furthermore, the IAGA was applied to vehicle routing problem...
This paper proposes the chaos-genetic algorithm (CGA) based on the cat map in order to optimize a multidimensional and multimodal non-linear cost function for the seismic wavelet. The algorithm uses the initial sensitivity of the cat map to expand the scope of the search, and uses the ergodicity of the cat map to search the chaotic variables. Thus, reduces the data redundancy, maintains the diversity...
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