Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series) - Hardcover

Book 5 of 32: Natural Computing

Bartz-Beielstein, Thomas

 
9783540320265: Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series)
Hardcover
ISBN 10: 3540320261 ISBN 13: 9783540320265
Publisher: Springer, 2006

Synopsis

Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning.

This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.

The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises.

"synopsis" may belong to another edition of this title.

Product Description

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2006
Language
English
ISBN 10 
3540320261
ISBN 13 
9783540320265
Binding
Hardcover
Number of pages
229

Other Popular Editions of the Same Title

9783642068737: Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series)

Featured Edition

ISBN 10:  3642068731 ISBN 13:  9783642068737
Publisher: Springer, 2010
Softcover