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RT Book, Whole SR Electronic DC OPAC T1 Experimental Research in Evolutionary Computation : The New Experimentalism / by Thomas Bartz-Beielstein T2 Natural Computing Series. ISSN:26276461 A1 Bartz-Beielstein, Thomas A1 SpringerLink (Online service) YR 2006 FD 2006 SP XIV, 215 p K1 Artificial intelligence K1 Computer science K1 Computer simulation K1 Application software K1 Mathematical optimization K1 Engineering mathematics K1 Engineering -- Data processing K1 Artificial Intelligence K1 Theory of Computation K1 Computer Modelling K1 Computer and Information Systems Applications K1 Optimization K1 Mathematical and Computational Engineering Applications ED 1st ed. 2006. PB Springer Berlin Heidelberg : Imprint: Springer PP Berlin, Heidelberg SN 9783540320272 LA English (英語) CL LCC:Q334-342 CL LCC:TA347.A78 CL DC23:006.3 NO 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 NO 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 NO HTTP:URL=https://doi.org/10.1007/3-540-32027-X NO 書誌ID=EB00003583; LK [E Book]https://doi.org/10.1007/3-540-32027-X OL 30