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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.
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Vivek Kapoor is working as Assistant Professor in Information Technology Department at Institute of Engineering and Technology, Devi Ahilya University, Indore, India. He Received Bachelor of Engineering (B.E.) in 1996 from Pt. Ravishankar Shukla University, Raipur (Chattisgarh), Master of Technology (M. Tech) in 2003 and Ph. D degree in 2013 in Computer Science from Devi Ahilya University, Indore. He has around 20 years of experience in teaching various courses like B.E., M.E., MBA, and MCA. He has been teaching various subjects like Data Structures, Database Management System, Computer Networks, Information Security and Programming Languages. His research interests include Computational Finance, Genetic Algorithms and Data Mining and Information Security. He has more than Forty research papers to his credit in international journals and in international conferences of repute on the above topics. Recently he has been awarded a patent by Govt of India.
Shubhamoy Dey is a professor of information systems at Indian Institute of Management Indore, India. He completed his Ph. D from the School of Computing, University of Leeds, UK, and Master of Technology from Indian Institute of Technology (IITKharagpur). He specializes in Data Mining and has 25 years of research, consulting and teaching experience in UK, USA and India.
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Genetic Algorithms and Applications for Stock Trading Optimization (Advances in Computational Intelligence and Robotics)
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Genetic Algorithms and Applications for Stock Trading Optimization
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Gebunden. Condición: 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. Nº de ref. del artículo: 490918668
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Genetic Algorithms and Applications for Stock Trading Optimization (Advances in Computational Intelligence and Robotics)
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Engineering Science Reference, 2021
ISBN 10: 1799841057
ISBN 13: 9781799841050
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Genetic Algorithms and Applications for Stock Trading Optimization
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Engineering Science Reference, 2021
ISBN 10: 1799841057
ISBN 13: 9781799841050
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Buch. Condición: 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. Nº de ref. del artículo: 9781799841050
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