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Advances and Trends in Genetic Programming is written by Arpit Bhardwaj and published by Academic Press. It's available with International Standard Book Number or ISBN identification 0128182431 (ISBN 10) and 9780128182437 (ISBN 13).
Advances and Trends in Genetic Programming, Volume One: Classification Techniques and Life Cycles presents the reader with complete coverage of the most current developments in Genetic Programming for Artificial Intelligence. The book provides a thorough look at classification as a systematic way of predicting class membership for a set of examples or instances using the properties of those examples. Classification arises in a wide variety of real life situations, such as detecting faces from large database, finding vehicles, matching fingerprints and diagnosing medical conditions. A classification algorithm requires huge amount of accuracy and reliability that is very difficult for human programmers. Therefore, there is a need to develop an automated computer-based classification system that can classify the required objects. Presents the latest advances in Genetic Programming for Artificial Intelligence Discusses automated computer-based classification algorithms and systems, including comparison of different types of machine learning and two-class versus multi-class classification Includes discussions of tree-based Genetic Programming, the Intron problem, Dynamic Fitness Evaluation, Crossover and Mutation Operators, and a presentation of an integrated model-based Genetic Programming Algorithm for multi-class classification