易受刺激 发表于 2025-3-25 04:10:39
Toward Real-Time Federated Evolutionary Neural Architecture Search, well suited for distributed real-time systems, due to high computational and communication costs. This chapter provides a brief introduction to methods for reducing computational cost in NAS, followed by a presentation of two evolutionary frameworks we recently developed for real-time federated NAS.Ceremony 发表于 2025-3-25 10:32:15
http://reply.papertrans.cn/17/1663/166286/166286_22.png博识 发表于 2025-3-25 11:42:19
A General Model for Automated Algorithm Design,configuration, selection and composition. Based on the decision space under consideration, the algorithm design itself is defined as an optimisation problem. Relevant literature is briefly reviewed, motivating a new line of exciting and challenging directions on the emerging research of automated algorithm design.圆木可阻碍 发表于 2025-3-25 16:46:20
http://reply.papertrans.cn/17/1663/166286/166286_24.pngDorsal-Kyphosis 发表于 2025-3-25 20:30:30
Automated Design of Machine Learning and Search AlgorithmsDelirium 发表于 2025-3-26 00:20:07
Rigorous Performance Analysis of Hyper-heuristics,d sophisticated hyper-heuristics from the literature can achieve . performance for some standard unimodal and multimodal benchmark functions. Problem characteristics are highlighted for which more or less machine learning sophistication is required, and insights are provided of how a rigorous theory骇人 发表于 2025-3-26 06:34:57
http://reply.papertrans.cn/17/1663/166286/166286_27.pngConnotation 发表于 2025-3-26 11:36:37
http://reply.papertrans.cn/17/1663/166286/166286_28.pngPRISE 发表于 2025-3-26 15:19:12
Hyper-heuristics: Autonomous Problem Solvers,lgorithms directly operating on the solution space. In that respect, by design, a hyper-heuristic can be applied to any problem with a search space of quantifiable solutions. This flexibility coming from their easy-to-use nature has been validated in various academic and real-world applications. The含沙射影 发表于 2025-3-26 19:55:15
Knowledge Transfer in Genetic Programming Hyper-heuristics, of GPHH, we explored the following two transfer strategies: (1) useful subtrees and (2) importance of terminals, and verified their effectiveness in a case study of the uncertain capacitated arc routing problem.