This book written by the foremost international researchers and practitioners of genetic programming (GP) explores the synergy between theoretical and empirical results on real-world problems producing a comprehensive view of the state of the art in GP.&nbsp; In this year���s edition the topics covered include many of the most important issues and research questions in the ���eld such as opportune application domains for GP-based methods game playing and co-evolutionary search symbolic regression and ef���cient learning strategies encodings and representations for GP schema theorems and new selection mechanisms. The book 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.<br><p></p>
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