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Více informací o knize Experimental Research in Evolutionary Computation

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Experimental Research in Evolutionary Computation
• Podnázev: The New Experimentalism. Supported online with downloads and exercises
• Autor: Thomas Bartz-Beielstein
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 215
• EAN: 9783540320265
• ISBN: 3540320261
• ID: 05273839
• Nakladatelství: Springer, Berlin
• Hmotnost: 507 g
• Rozměry: 235 × 155 × 18 mm
• Rok vydání: 2006

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