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Source: The Open Library
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1Introduction to evolutionary computing
By Agoston E Eiben, A.E. Eiben and J.E. Smith

“Introduction to evolutionary computing” Metadata:
- Title: ➤ Introduction to evolutionary computing
- Authors: Agoston E EibenA.E. EibenJ.E. Smith
- Language: English
- Number of Pages: Median: 299
- Publisher: Springer
- Publish Date: 2003 - 2007 - 2016
- Publish Location: New York - Berlin
“Introduction to evolutionary computing” Subjects and Themes:
- Subjects: ➤ Evolutionary programming (Computer science) - Evolutionary computation - General Theory of Computing - Evolutionary programming (Comp - Computers - Computers - General Information - Science/Mathematics - Artificial Intelligence - General - Computer Science - Computers / Artificial Intelligence - Evolutinary programming - Evolution strategies - Evolutionary computing - Genetic algorithms - Genetic programming - General - Evolutionary programming (computer science) - Qa76.618 .e33 2003 - 006.3
Edition Identifiers:
- The Open Library ID: OL9056902M - OL17111297M - OL28118179M
- Online Computer Library Center (OCLC) ID: 52559217
- Library of Congress Control Number (LCCN): 2003057316
- All ISBNs: 9783662499856 - 3662499851 - 9783540401841 - 3540401849
First Setence:
"This chapter provides the reader with the basics for studying evolutionary computing (EC) through this book."
Access and General Info:
- First Year Published: 2003
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
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Genetic programming
Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population
Linear genetic programming
"Linear genetic programming" is unrelated to "linear programming". Linear genetic programming (LGP) is a particular method of genetic programming wherein
Cartesian genetic programming
Cartesian genetic programming is a form of genetic programming that uses a graph representation to encode computer programs. It grew from a method of
Genetic operator
include genetic algorithms, evolution strategies, genetic programming and evolutionary programming. In his book discussing the use of genetic programming for
Genetic algorithm
representations are explored in genetic programming and graph-form representations are explored in evolutionary programming; a mix of both linear chromosomes
Evolutionary programming
number as page number (link) Brameier, Markus (2004). "On Linear Genetic Programming". Dissertation. Retrieved 27 December 2024. "Artificial Intelligence
Genetic fuzzy systems
and operations research, Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process
Interactive evolutionary computation
genetic algorithm, interactive genetic programming, and human-based genetic algorithm. An interactive genetic algorithm (IGA) is defined as a genetic
Gene expression programming
genetic algorithms and genetic programming. From genetic algorithms it inherited the linear chromosomes of fixed length; and from genetic programming
Genetic and Evolutionary Computation Conference
computation. Topics of interest include: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, estimation of distribution algorithms