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Published by Engineering Science Reference, 2021
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Published by Engineering Science Reference, 2021
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Published by Engineering Science Reference, 2021
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. The book covers the functions of genetic algorithms internally, computer implementation of ps.
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Published by Engineering Science Reference, 2021
ISBN 10: 1799870774 ISBN 13: 9781799870777
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book offers an overall general review of internal working of Genetic Algorithms (GAs) in search and optimization, and their use in to find out attractive stock trading strategies'.
Published by Engineering Science Reference, 2021
ISBN 10: 1799841057 ISBN 13: 9781799841050
Language: English
Seller: moluna, Greven, Germany
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. The book covers the functions of genetic algorithms internally, computer implementation of ps.
Published by Engineering Science Reference, 2021
ISBN 10: 1799841057 ISBN 13: 9781799841050
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.