Holdings: Machine learning for evolution strategies

Machine learning for evolution strategies:

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Bibliographic Details
Main Author:	Kramer, Oliver (Author)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer [2016]
Series:	Studies in Big Data volume 20 (2016)
Subjects:	Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (IX, 124 Seiten)
ISBN:	9783319333830
DOI:	10.1007/978-3-319-33383-0

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Record in the Search Index

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adam_text	MACHINE LEARNING FOR EVOLUTION STRATEGIES / KRAMER, OLIVER : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS PART I EVOLUTION STRATEGIES PART II MACHINE LEARNING PART III SUPERVISED LEARNING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. MACHINE LEARNING FOR EVOLUTION STRATEGIES / KRAMER, OLIVER : 2016 ABSTRACT / INHALTSTEXT THIS BOOK INTRODUCES NUMEROUS ALGORITHMIC HYBRIDIZATIONS BETWEEN BOTH WORLDS THAT SHOW HOW MACHINE LEARNING CAN IMPROVE AND SUPPORT EVOLUTION STRATEGIES. THE SET OF METHODS COMPRISES COVARIANCE MATRIX ESTIMATION, META-MODELING OF FITNESS AND CONSTRAINT FUNCTIONS, DIMENSIONALITY REDUCTION FOR SEARCH AND VISUALIZATION OF HIGH-DIMENSIONAL OPTIMIZATION PROCESSES, AND CLUSTERING-BASED NICHING. AFTER GIVING AN INTRODUCTION TO EVOLUTION STRATEGIES AND MACHINE LEARNING, THE BOOK BUILDS THE BRIDGE BETWEEN BOTH WORLDS WITH AN ALGORITHMIC AND EXPERIMENTAL PERSPECTIVE. EXPERIMENTS MOSTLY EMPLOY A (1+1)-ES AND ARE IMPLEMENTED IN PYTHON USING THE MACHINE LEARNING LIBRARY SCIKIT-LEARN. THE EXAMPLES ARE CONDUCTED ON TYPICAL BENCHMARK PROBLEMS ILLUSTRATING ALGORITHMIC CONCEPTS AND THEIR EXPERIMENTAL BEHAVIOR. THE BOOK CLOSES WITH A DISCUSSION OF RELATED LINES OF RESEARCH DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series2	Studies in Big Data
spellingShingle	Kramer, Oliver Machine learning for evolution strategies Studies in Big Data Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4193754-5
title	Machine learning for evolution strategies
title_auth	Machine learning for evolution strategies
title_exact_search	Machine learning for evolution strategies
title_full	Machine learning for evolution strategies Oliver Kramer
title_fullStr	Machine learning for evolution strategies Oliver Kramer
title_full_unstemmed	Machine learning for evolution strategies Oliver Kramer
title_short	Machine learning for evolution strategies
title_sort	machine learning for evolution strategies
topic	Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Engineering Data mining Artificial intelligence Computer simulation Sociophysics Econophysics Computational intelligence Computational Intelligence Simulation and Modeling Data Mining and Knowledge Discovery Socio- and Econophysics, Population and Evolutionary Models Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Maschinelles Lernen
url	https://doi.org/10.1007/978-3-319-33383-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994299&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994299&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV041583423
work_keys_str_mv	AT krameroliver machinelearningforevolutionstrategies

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