Titlebook: Automated Design of Machine Learning and Search Algorithms; Nelishia Pillay,Rong Qu Book 2021 Springer Nature Switzerland AG 2021 Machine

易受刺激

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

博識

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.

圓木可阻礙

Dorsal-Kyphosis

Automated Design of Machine Learning and Search Algorithms

Delirium

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

駭人

Connotation

PRISE

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

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.