Because the early Nineties, genetic programming (GP)—a self-discipline whose aim is to permit the automated iteration of desktop programs—has emerged as probably the most promising paradigms for speedy, effective software program improvement. GP combines organic metaphors gleaned from Darwin's concept of evolution with computer-science techniques drawn from the sector of laptop studying to create courses which are able to adapting or recreating themselves for open-ended tasks.
This targeted advent to GP offers an in depth evaluate of the topic and its antecedents, with huge references to the broadcast and on-line literature. as well as explaining the basic conception and significant algorithms, the textual content contains useful discussions masking a wealth of strength functions and real-world implementation options. software program pros desiring to appreciate and follow GP options will locate this ebook a useful functional and theoretical consultant.
Read Online or Download Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence) PDF
Similar Algorithms books
AI Algorithms, info buildings, and Idioms in Prolog, Lisp, and Java
Rarely used publication, in fine condition.
This concise, obtainable textual content offers a radical creation to quantum computing - an exhilarating emergent box on the interface of the pc, engineering, mathematical and actual sciences. aimed toward complicated undergraduate and starting graduate scholars in those disciplines, the textual content is technically particular and is obviously illustrated all through with diagrams and workouts.
A few books on algorithms are rigorous yet incomplete; others conceal lots of fabric yet lack rigor. creation to Algorithms uniquely combines rigor and comprehensiveness. The ebook covers a extensive diversity of algorithms extensive, but makes their layout and research obtainable to all degrees of readers.
A complete, must-have guide of matrix equipment with a distinct emphasis on statistical functions This well timed ebook, A Matrix instruction manual for Statisticians, presents a complete, encyclopedic therapy of matrices as they relate to either statistical innovations and methodologies. Written by means of an skilled authority on matrices and statistical thought, this instruction manual is prepared via subject instead of mathematical advancements and comprises various references to either the idea in the back of the tools and the functions of the tools.
Additional resources for Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)