Free Delivery Over $100
|
|
|||
|
||||
OverviewThis two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization. Full Product DetailsAuthor: Thomas Bäck , Mike Preuss , André Deutz , Hao WangPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Volume: 12269 Weight: 1.157kg ISBN: 9783030581114ISBN 10: 303058111 Pages: 735 Publication Date: 03 September 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsAutomated Algorithm Selection and Configuration.- Bayesian- and Surrogate-Assisted Optimization.- Benchmarking and Performance Measures.- Combinatorial Optimization.- Connection Between Nature-Inspired Optimization and Artificial Intelligence.- Genetic and Evolutionary Algorithms.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
