Genetic and Evolutionary Computation

Book Series
There are 17 volumes in this series
Published 2006 - 2019

About this series

The area of Genetic and Evolutionary Computation has seen an explosion of interest in recent years. Methods based on the variation-selection loop of Darwinian natural evolution have been successfully applied to a whole range of research areas.

The Genetic and Evolutionary Computation Book Series publishes research monographs, edited collections, and graduate-level texts in one of the most exciting areas of Computer Science. As researchers and practitioners alike turn increasingly to search, optimization, and machine-learning methods based on mimicking natural evolution to solve problems across the spectrum of the human endeavor, this growing field will continue to surprise with novel applications and results. Recent award-winning PhD theses, special topics books, workshops and conference proceedings in the areas of EC and Artificial Life Studies are of interest.

Areas of coverage include applications, theoretical foundations, technique extensions and implementation issues of all areas of genetic and evolutionary computation. Topics may include, but are not limited to:

Optimization (multi-objective, multi-level)
Design, control, classification, and system identification
Data mining and data analytics
Pattern recognition and deep learning
Evolution in machine learning
Evolvable systems of all types
Automatic programming and genetic improvement

Proposals in related fields such as:

Artificial life, artificial chemistries
Adaptive behavior and evolutionary robotics
Artificial immune systems
Agent-based systems
Deep neural networks
Quantum computing

will be considered for publication in this series as long as GEVO techniques are part of or inspiration for the system being described. Manuscripts describing GEVO applications in all areas of engineering, commerce, the sciences, the arts 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 Wolfgang Banzhaf, Kalyan Deb or Melissa Fearon:

Areas: Genetic Programming / other Evolutionary Computation Methods, Machine Learning, Artificial Life

Wolfgang Banzhaf
Consulting Editor
BEACON Center for Evolution in Action
Michigan State University,
East Lansing, MI 48824 USA
banzhafw@msu.edu

 

Areas: Genetic Algorithms, Optimization, Meta-Heuristics, Engineering

Kalyanmoy Deb
Consulting Editor
BEACON Center for Evolution in Action
Michigan State University,
East Lansing, MI 48824 USA
kdeb@msu.edu

 

Melissa Fearon
Senior Editor, Computer Science
Springer Science and Business Media, LLC
233 Spring Street
New York, NY 10013 USA
melissa.fearon@springer.com

 

The GEVO book series is the result of a merger the two former book series: Genetic Algorithms and Evolutionary Computation https://www.springer.com/series/6008 and Genetic Programming https://www.springer.com/series/6016.