Titlebook: Data-Driven Evolutionary Optimization; Integrating Evolutio Yaochu Jin,Handing Wang,Chaoli Sun Book 2021 The Editor(s) (if applicable) and

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Book 2021ristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques.  New algorithms are

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Modelling Prosody in Spontaneous Speech Different to the first two algorithms, the third one focuses on reducing the computational complexity of Bayesian optimization by replacing the Gaussian process with a heterogeneous ensemble, making it applicable to high-dimensional expensive problems.

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Surrogate-Assisted Multi-objective Evolutionary Optimization, Different to the first two algorithms, the third one focuses on reducing the computational complexity of Bayesian optimization by replacing the Gaussian process with a heterogeneous ensemble, making it applicable to high-dimensional expensive problems.

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https://doi.org/10.1007/978-3-030-74640-7Data-Driven Evolutionary Optimization; Evolutionary Optimization; Computational Intelligence; Metaheuri

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978-3-030-74642-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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