Frontiers of Evolutionary Computation (Genetic Algorithms and Evolutionary Computation)

Features

• Cover Type: Hard Cover with 272 pages
• Published by: Springer
• Edition: 1st Edition February 29, 2004
• Written in: English
• ISBN 10 Number: 1402075243
• ISBN 13 Number: 978-1402075247
• Book Dimensions: 9.5 x 6.3 x 0.9 inches
• Weighs: 1.4 pounds

Product Review


From the reviews:

"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)

Product Description


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.