Experimental research in evolutionary computation [electronic resource] : the new experimentalism
- Responsibility
- Thomas Bartz-Beielstein.
- Imprint
- Berlin ; New York : Springer, c2006.
- Physical description
- xiv, 214 p. : ill.
- Series
- Natural computing series.
Online
Available online
More options
Description
Creators/Contributors
- Author/Creator
- Bartz-Beielstein, Thomas.
- Contributor
- ProQuest (Firm)
Contents/Summary
- Bibliography
- Includes bibliographical references and index
- Contents
-
- Basics.- Research in Evolutionary Computation.- The New Experimentalism.- Statistics for Computer Experiments.- Optimization Problems.- Designs for Computer Experiments.- Search Algorithms.- Results and Perspectives.- Comparison.- Understanding Performance.- Summary and Outlook.
- (source: Nielsen Book Data)
- Publisher's summary
-
This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.
(source: Nielsen Book Data)
Subjects
- Subjects
- Evolutionary computation > Research.
- Research > Methodology.
Bibliographic information
- Publication date
- 2006
- Series
- Natural computing series, 1619-7127
- Note
- Originally presented as the author's thesis (doctoral) under the title: New experimentalism applied to evolutionary computation.
- Reproduction
- Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
- ISBN
- 354032027X
- 3540320261 (hd.bd.)
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