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Experimental Research in Evolutionary Computation: The New Experimentalism

Posted on 2010-04-15




Name:Experimental Research in Evolutionary Computation: The New Experimentalism
ASIN/ISBN:3540320261
Publish Date:2006
Pages:214 pages
File size:2.23 Mb
ISBN: 3540320261
Publish Date: 2006
File Type: PDF
Pages: 214 pages
File Size: 2.23 MB
Other Info: Springer
   Experimental Research in Evolutionary Computation: The New Experimentalism

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Thomas Bartz-Beielstein, «»

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.

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