Visual-Field 发表于 2025-3-25 06:51:35
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, lecPHONE 发表于 2025-3-25 08:03:40
Springer Tracts in Nature-Inspired Computinghttp://image.papertrans.cn/f/image/320622.jpgPOLYP 发表于 2025-3-25 14:01:21
http://reply.papertrans.cn/33/3207/320622/320622_23.pngGudgeon 发表于 2025-3-25 17:03:29
Engineering Applications of AI and Swarm Intelligence978-981-97-5979-8Series ISSN 2524-552X Series E-ISSN 2524-5538过于光泽 发表于 2025-3-25 21:27:29
http://reply.papertrans.cn/33/3207/320622/320622_25.png压碎 发表于 2025-3-26 00:50:53
http://reply.papertrans.cn/33/3207/320622/320622_26.pngAboveboard 发表于 2025-3-26 07:04:53
http://reply.papertrans.cn/33/3207/320622/320622_27.pngSSRIS 发表于 2025-3-26 11:16:49
,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.Substance-Abuse 发表于 2025-3-26 16:25:55
http://reply.papertrans.cn/33/3207/320622/320622_29.png轻浮女 发表于 2025-3-26 18:22:37
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.