Experimental Research in Evolutionary Computation

The New Experimentalism

By: Thomas Bartz-Beielstein

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Hardcover | 20 March 2006

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Hardcover
232 Pages

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23.39 x 15.6 x 1.42

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Computer Science Artificial Intelligence Mathematics Optimisation Linear Programming Graphical & Digital Media Applications 3D Graphics & Modelling Databases Data Capture & Analysis

Applied Mathematics Engineering & Technology Technology in General Engineering in General Business Applications

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Paperback

Published: 25th November 2010

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Research in evolutionary computation	p. 3
The new experimentalism	p. 13
Statistics for computer experiments	p. 41
Optimization problems	p. 65
Designs for computer experiments	p. 79
Search algorithms	p. 93
Comparison	p. 105
Understanding performance	p. 145
Summary and outlook	p. 175
Table of Contents provided by Blackwell. All Rights Reserved.

Experimental Research in Evolutionary Computation

The New Experimentalism

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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