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Titlebook: Simulated Evolution and Learning; 11th International C Yuhui Shi,Kay Chen Tan,Yaochu Jin Conference proceedings 2017 Springer International

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Maximum Likelihood Estimation Based on Random Subspace EDA: Application to Extrasolar Planet Detectile well to large scale problems, as it consists of iterative random sampling and model fitting procedures, which results in the well-known dilemma .. A novel mechanism to perform EDAs in interactive random subspaces spanned by correlated variables is proposed and the hope is to alleviate the . for E
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GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Compositionrvice composition is proposed with explicit support for our representation. We also design specific genetic operation that effectively maintain the correctness of solutions during the evolutionary process. We conduct experiments to explore the effectiveness and efficiency of our GP-based approach us
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Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Spacevolutional Neural Network (CNN) to learn problem-invariant features from the samples of EAs’ collective behavior. Lastly, experiment results demonstrate that our framework can effectively learn discriminative features representing collective behavior of EAs. In the behavioral feature space stretched
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of selected lectures given at the two first European Summer Schools in Quantum Chemistry (ESQC), held in southern Sweden in August 1989 and 1991, respectively. The notes were written by the teachers at the school and covered a large range of topics in ab initio quantum chemistry. After the third su
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Muhammad Sulaman,Xinye Cai,Mustafa Mısır,Zhun Fand individuals more and more. Artificial translation is accurate, but the cost is too high and time-consuming; while the cost of the machine translation is not only low, but the speed is fast. However, the accuracy of machine translation has been criticized by users, therefore, how to build a new gen
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