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Intelligent Systems Reference Libraryhttp://image.papertrans.cn/i/image/467342.jpg延期 发表于 2025-3-27 12:36:01
978-3-319-34930-5Springer International Publishing Switzerland 2014BOOR 发表于 2025-3-27 14:29:50
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Bat Inspired Algorithms We first describe the general knowledge of the foraging behaviour of bats in .. Then, the fundamentals and performances of the BaA and BI algorithm are introduced in . and ., respectively. Finally, . summarises in this chapter.史前 发表于 2025-3-28 00:27:40
Cat Swarm Optimization Algorithm. We first describe the general knowledge of the behaviour of cats in .. Then, the fundamentals and performance of CSO are introduced in .. Next, some selected variations of CSO are explained in .. Right after this, . presents a representative CSO application. Finally, . summarises this chapter.运动吧 发表于 2025-3-28 02:42:51
Luminous Insect Inspired Algorithmswarm optimization (GlSO) algorithm, and bioluminescent swarm optimization (BiSO) algorithm. We first describe the general knowledge of the luminous insects in .. Then, the fundamentals, performances and selected applications of FA, GlSO algorithm and BiSO algorithm are introduced in ., . and ., respectively. Finally, . summarises this chapter.拥挤前 发表于 2025-3-28 09:07:01
Frog Inspired Algorithmsing algorithm (FCA). We first provide a brief introduction in .. Then, the fundamentals and performance of SFLA are introduced in .. Next, . outlines some core working principles and preliminary experimental studies relative to FCA. Finally, . summarises this chapter.defenses 发表于 2025-3-28 10:57:42
Group Search Optimizer Algorithming behaviours, i.e., producer-scrounger paradigm. We first describe the general knowledge of the producer-scrounger model in .. Then, the fundamentals and performance of GrSO are introduced in .. Finally, . summarises this chapter.