Genetic and Evolutionary Computation

Description

Researchers and practitioners alike are increasingly turning to search, optimization, and machine-learning procedures based on natural selection and genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of genetic programming and other forms of evolutionary computation are solving problems and inventing new hardware and software that rival human designs.

The Genetic and Evolutionary Computation Book Series publishes research monographs, edited collections, and graduate-level texts on this rapidly growing field.

Areas of coverage include applications, theoretical foundations, technique extensions and implementation issues of all areas of genetic and evolutionary computation including genetic algorithms (GAs), genetic programming (GP), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). Topics may include, but are not limited to:

optimization
design, control, classification, and system identification
data mining
pattern recognition and image analysis
data and image compression
evolvable machine language
evolvable hardware
automatic programming of multi-agent and distributed systems

Proposals in related fields such as:

artificial life
adaptive behavior
artificial immune systems
agent-based systems
neural computing
fuzzy systems
and quantum computing

will be considered for publication in this series as long as GEC techniques are part of or inspiration for the system being described. Manuscripts describing GEC applications in all areas of engineering, commerce, the sciences, and the humanities are encouraged.

Prospective Authors or Editors: If you have an idea for a book, we would welcome the opportunity to review your proposal. Should you wish to discuss any potential project further or receive specific information regarding our book proposal requirements, please contact John Koza, David Goldberg or Melissa Fearon:

David E. Goldberg
Consulting Editor
IlliGAL, Dept. of General Engineering
Univ. of Illinois at Urbana-Champaign
Urbana, Illinois 61801 USA
deg@uiuc.edu

John R. Koza
Consulting Editor
Medical Informatics
Stanford University
Stanford, CA 94305-5479
Email: john@johnkoza.com

Melissa Fearon
Editor, Computer Science
Springer
101 Philip Drive
Norwell, MA 02061 USA
melissa.fearon@springer.com