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 evolutionary computation are solving problems and inventing new hardware and software that rival human designs.

The Kluwer International Series on Genetic Algorithms and Evolutionary Computation will publish research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implementation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). 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 that would fit in this series, we would welcome the opportunity to review your proposal. Should you wish to discuss any potential project further or receive specific information regarding book proposal requirements, please contact either Dave Goldberg or Lance Wobus:

David E. Goldberg
Consulting Editor
IlliGAL, Department of General Engineering
University of Illinois at Urbana-Champaign
Urbana, Illinois 61801 USA
Phone: 217-333-0897
Fax: 217-244-5705
Email: deg@uiuc.edu

Lance Wobus
Acquisitions Editor
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061 USA
Phone: 781-681-0602
Fax: 781-871-7507
Email: lance.wobus@wkap.com