Frontiers of Evolutionary Computation

Front Cover
Anil Menon
Springer Science & Business Media, Feb 29, 2004 - Computers - 271 pages
Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (EC). They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms, the connection with optimization theory and the role of EC as a meta-heuristic method, to name a few. The articles feature a mixture of informal discussion interspersed with formal statements, thus providing the reader an opportunity to observe a wide range of EC problems from the investigative perspective of world-renowned researchers. These prominent researchers include: -Heinz Mühlenbein, -Kenneth De Jong, -Carlos Cotta and Pablo Moscato, -Lee Altenberg, -Gary A. Kochenberger, Fred Glover, Bahram Alidaee and Cesar Rego, -William G. Macready, -Christopher R. Stephens and Riccardo Poli, -Lothar M. Schmitt, -John R. Koza, Matthew J. Street and Martin A. Keane, -Vivek Balaraman, -Wolfgang Banzhaf and Julian Miller. Frontiers of Evolutionary Computation is ideal for researchers and students who want to follow the process of EC problem-solving and for those who want to consider what frontiers still await their exploration.
 

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Contents

List of Tables Preface Contributing Authors
1
Towards memory based reasoning
5
2
37
Challenges and duties
52
open challenges
67
Lee Altenberg
73
5
85
Solving Combinatorial Optimization Problems via Reformulation
103
Stochastic analysis of cellular automata 12 1 12 2 The nonlinear voter model Stochastic analysis of one dimensional SCA Stochastic analysis of evolu...
222
CSchemas as Building Blocks
233
Conclusions
237
The Challenge Of Complexity
242
Wolfgang Banzhaf and Julian Miller 1 GP Basics and State of the
245
The Situation in Biology
248
Natures way to deal with complexity
249
What we can learn from Nature?
254

9
112
Problems in Optimization
115
7
129
Christopher R Stephens and Riccardo Poli
145
Asymptotic Convergence of Scaled Genetic Algorithms
156
93
197
38
198
The Challenge of Producing HumanCompetitive Results by Means
201
Case Based Reasoning
211
Transfer into Genetic Programming
256
Conclusion
258
40
261
189
263
232
264
237
267
31
268
174
269
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