Titlebook: Engineering Applications of AI and Swarm Intelligence; Xin-She Yang Book 2025 The Editor(s) (if applicable) and The Author(s), under exclu

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Xin-She YangDiscusses latest developments and findings on engineering applications of AI and swarm intelligence.Provides comprehensive reviews and surveys on implementations and coding.Is useful for scholars, lec

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Engineering Applications of AI and Swarm Intelligence978-981-97-5979-8Series ISSN 2524-552X Series E-ISSN 2524-5538

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,Self-adaptive Big Bang-Big Crunch Algorithm for?Engineering Designs,orithm, BB-BC-. algorithm and other well-established algorithms. It is important to mention that the proposed algorithm can avoid premature convergence, reducing the number of evaluations of the objective function, but maintaining the accuracy of the solutions.

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General Theory in the Interior of the Domain, to name a few. CvNN’s have proven their superiority over real-valued neural networks (RvNN’s) in handling situations where both amplitude and phase information are needed. Such data naturally arises in many engineering applications. This chapter presents a brief, overview of CvNN’s, their applications, and associated challenges.