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Titlebook: Simulated Evolution and Learning; 7th International Co Xiaodong Li,Michael Kirley,Yuhui Shi Conference proceedings 2008 Springer-Verlag Ber

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Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representationtive evolutionary algorithms to address this problem. Here, we adopt an enhanced indirect encoding for a tree using the corresponding Prüfer code represented in Newick format. The algorithm generates a range of non-dominated trees given alternative fitness measures such as statistical likelihood and
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Adaptive Non-uniform Distribution of Quantum Particles in mQSOti-swarm approach based on two types of particles: neutral and quantum ones is a framework of the experimental research. A new method of generation of new location candidates for quantum particles is proposed. Then a set of experiments is performed where this method is verified. The test-cases repre
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Genetically Evolved Fuzzy Rule-Based Classifiers and Application to Automotive ClassificationU). Although the results in control applications are promising, the advantages of type-2 framework in fuzzy pattern classification is still unclear due to different forms of outputs produced by both systems. This paper aims at investigating if type-2 fuzzy classifier can deliver a better performance
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Improving XCS Performance by Distributionassifier System (XCS) are widely applied for machine learning. Despite their widespread application, LCSs have drawbacks: The number of reinforcement cycles an LCS requires for learning largely depends on the complexity of the learning task. A straightforward way to reduce this complexity is to spli
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Evolving an Ensemble of Neural Networks Using Artificial Immune Systemsars AIS have increasingly attracted interest from researchers due to their ability to balance the exploration and exploitation of the search space. Nevertheless, there have been just a few applications of those algorithms in the construction of committee machines. In this paper, a population of feed
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