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Springer Genetic Programming and Data Structures Book

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Description

Explore the advancement of automatic programming with this Springer publication. While genetic programming (GP) has shown promise in automatically evolving functions that rival human-written code, most research focuses on functions without memory. This book addresses that gap by focusing on the automatic creation of program code that includes stored data. By combining genetic programming with data structures, the text explores the transition from simple function creation to more complex, memory-capable automated programming. It is a specialized resource for those studying the evolution of self-programming computer systems.

Key Features

This Springer book examines the evolution of genetic programming for automatic programming tasks.

The text covers the integration of data structures with genetic programming to enable memory in evolved code.

Learn how genetic programming can evolve programs with performance levels similar to human-written code.

The content focuses on the transition from creating simple functions to creating complex program code with stored data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 April 1998
Listed Since
12 January 2007

Barcode

No barcode data available

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