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Titlebook: Bio-inspired Computing – Theories and Applications; 11th International C Maoguo Gong,Linqiang Pan,Gexiang Zhang Conference proceedings 2016

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https://doi.org/10.1007/978-1-349-18432-3 integrating the multi-parent crossover within the framework of hypervolume-based multi-objective optimization algorithm. The proposed algorithm employs a multi-parent crossover operator to generate the offspring solutions, which are used to further improve the quality of Pareto approximation set. E
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https://doi.org/10.1007/978-1-349-04847-2ch ability. In supervised classification research issues, EAs were only used to improve the performance of classifiers either by optimizing the parameters or structure of the classifiers, or by pre-processing the inputs of the classifiers. Although genetic programming or evolutionary based decision
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Introduction: Jane Austen and Modernization,rk also overlap as a person may belong to more than one social group. Therefore, detecting overlapping partition of a network is necessary for the realistic social analysis. In this paper, We develop a fuzzy evaluation using the membership degree of each node belonging to every community, and presen
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Jane Austen and the Theatre of War, of differential evolution is significantly influenced by its parameter settings. To remedy this limitation, different parameter adaptation techniques are proposed in the literature. Generally, different parameter adaptation techniques have different rationales and may be suitable to different probl
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Jane Austen and the Theatre of War, the town water distribution networks can dramatically decrease the occurrence of contamination events by real-time monitoring on water quality. However, how to make a reverse localization on contamination source by the detection information of water quality sensor is a challenging issue. The diffic
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Proofs, Probabilities and Ambiguities,lem, which can be solved by particle swarm optimization (PSO) algorithms. PSO algorithm with particle filter (PF) has been actively used in visual tracking. In this paper, we propose an improved resampling cellular quantum-behaved PSO (RScQPSO) algorithm, which is a probabilistic variant of PSO, and
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