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Springer Genetic Programming Theory and Practice XVII (Genetic and Evolutionary Computation)

Name: Genetic Programming Theory and Practice XVII (Genetic and Evolutionary Computation)
Brand: Springer

AI & Machine Learning

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These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the ﬁeld, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efﬁcient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030399575
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 08 May 2020
Listed Since: 22 December 2019

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Springer Genetic Programming Theory and Practice XVII (Genetic and Evolutionary Computation)

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