文档介绍：FRONTIERS OF
PUTATION
ic Algorithms and
putation
Consulting Editor, David E. Goldberg
University of Illinois at Urbana-Champaign
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Additional titles in the series:
Efficient and Accurate Parallel ic Algorithms, Erick Cantú-Paz ISBN: 0-
7923-7221-2
Estimation of Distribution Algorithms: A New Tool for Evolutionary
Computation, edited by Pedro Larrañaga, Jose A. Lozano ISBN: 0-7923-7466-5
Evolutionary Optimization in Dynamic Environments, Jürgen Branke ISBN: 0-
7923-7631-5
Anticipatory Learning Classifier Systems, Martin V. Butz ISBN: 0-7923-7630-7
Evolutionary Algorithms for Solving Multi-Objective Problems, Carlos A. Coello
Coello, David A. Van Veldhuizen, and Gary B. Lamont ISBN: 0-306-46762-3
OmeGA: petent ic Algorithm for Solving Permutation and
Scheduling Problems, Dimitri Knjazew ISBN: 0-7923-7460-6
The Design of Innovation: Lessons from and petent ic
Algorithms, David E. Goldberg ISBN: 1-4020-7098-5
Noisy Optimization with Evolution Strategies, Dirk V. Arnold ISBN: 1 -4020-
7105-1
Classical and Evolutionary Algorithms in the Optimization of Optical Systems,
Darko ISBN: 1-4020- 7140-X
Evolutionary Algorithms for Embedded System Design, edited by Rolf Drechsler,
Nicole Drechsler: ISBN: 1-4020- 7276-7
ic Algorithms and putation publishes research monographs, edited
collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include
the theory, implementation, and application of ic algorithms (GAs), evolution strategies (ESs),
evolutionary programming (EP), learning classifier systems (LCSs) and other variants of ic and
putation (GEC). Proposals in related fields
such as artificial life, adaptive behavior, artificial immune
systems, agent-based systems, puting, fuzzy GENAGENAGENA
systems, and puting will be considered for GENAGENAGENA
publication in this series as long as GEC techniques are part of ic Algorithms and
or inspiration for the s