Titlebook: Optinformatics in Evolutionary Learning and Optimization; Liang Feng,Yaqing Hou,Zexuan Zhu Book 2021 The Editor(s) (if applicable) and The

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rse periods have raised these questions and their answers were often quite creative, not merely reflecting the conventions and mores of their societies. With the publication of this anthology, their writings will be brought together in a single volume for the first time. This anthology differs from

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Liang Feng,Yaqing Hou,Zexuan Zhu most diverse periods have raised these questions and their answers were often quite creative, not merely reflecting the conventions and mores of their societies. With the publication of this anthology, their writings will be brought together in a single volume for the first time. This anthology differs from 978-0-89603-054-1978-1-4612-5304-4

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Liang Feng,Yaqing Hou,Zexuan Zhun information that will allow him to determine whether a limb which he is treating is also suffering from an underlying impairment of arterial, venous, or lymphatic circulation. On the basis of such data, he should be in a better position to institute an appropriate and safe therapeutic program. Sec

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Liang Feng,Yaqing Hou,Zexuan Zhural surgeon information that will allow him to determine whether a limb which he is treating is also suffering from an underlying impairment of arterial, venous, or lymphatic circulation. On the basis of such data, he should be in a better position to institute an appropriate and safe therapeutic program. Sec978-1-4612-5864-3978-1-4612-5862-9

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Optinformatics Within a Single Problem Domain,ation of knowledge in evolutionary search for routing are discussed. To validate the performance of the optinformatic algorithm, comprehensive empirical studies on commonly used vehicle routing and arc routing problems are conducted.

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Optinformatics Across Heterogeneous Problem Domains and Solvers,-agent system. Two types of neural network, i.e., feedforward and adaptive resonance theory (ART) neural network, are employed as the reinforcement learning agents, and the application of mine navigation and game of unreal tournament 2004 are used as the learning task to investigate the performance

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1867-4534 earning, neural architecture search, urban logistics planning, etc. Despite the success enjoyed by EAs, it is worth noting that most existing EA optimizers conduct the evolutionary search process from scratch, 978-3-030-70922-8978-3-030-70920-4Series ISSN 1867-4534 Series E-ISSN 1867-4542