… Thus, by using this dataset, I could test creationist hypotheses across numerous “kinds”
simultaneously and thereby discover the general explanatory principles for the young-earth …

… Neural network based multi-objective evolutionary algorithm … based on dynamic multi-objective
evolutionary algorithms for … On the performance of evolutionary algorithms with life-time …

… factors which affect performance of handover algorithm are taken … Chunhui Zhu 等人[2] 在此
篇中,首先探討 Route Discovery … 此篇的優點是在Route Discovery 的步驟 時,可以避免多餘的或…

… Genetic Algorithm (EPGA) is designed to find out the optimal combinations by evolutionary
computation… In comparison with related work, the proposed approach has several merits …

… algorithm optimization efficiency, integrated performance simulation and multiobjective
optimization method, and performance … on optimization platform to discover the underlying pattern …

… de Brahe, led to the discovery of the laws of planetary … algorithmic and applied aspects of
combinations of methods from the soft computing area, neural networks, evolutionary algorithms…

… ) Evolutionary computations have been widely used in many real word problems. In particular,
evolutionary algorithms … -Genetic Algorithm (EGA), which fits “biological evolution” into the …

… GA-CDMS according to the concept of hybrid genetic algorithm for comparison purposes. …
aim at discovering k nearest neighbors to a reference stream). To achieve high efficiency in …

… This dissertation proposed a CatOpt algorithm and developed a CatOpt-based … multiple
fuzzy knowledge bases simultaneously. To demonstrate the effectiveness of the CatOpt algorithm…