Frontiers of Evolutionary Computation / Edition 1

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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 M hlenbein, 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 Computationis 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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Editorial Reviews

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"This is a diverse collection of eleven papers that share the common theme of posing open problems and pointing out possible directions of future research, all written by leading researchers in the field of evolutionary computation (EC). … A good starting point for readers who are not familiar with evolutionary computation is provided … . A different approach taken by several authors is the combination of EC with different fields with the aim of enriching and developing EC theory." (Thomas Jansen, Mathematical Reviews, 2005f)

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Product Details

Table of Contents

List of Figures
List of Tables
Contributing Authors
1 Towards a Theory of Organisms and Evolving Automata 1
2 Two Grand Challenges for EC 37
3 Evolutionary Computation: Challenges and duties 53
4 Open Problems in the Spectral Analysis of Evolutionary Dynamics 73
5 Solving Combinatorial Optimization Problems via Reformulation and Adaptive Memory Metaheuristics 103
6 Problems in Optimization 115
7 EC Theory - "In Theory" 129
8 Asymptotic Convergence of Scaled Genetic Algorithms 157
9 The Challenge of Producing Human-Competitive Results by Means of Genetic and Evolutionary-Computation 201
10 Case Based Reasoning 211
11 The Challenge Of Complexity 243
Author Index 261
Index 267
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