Inhaltsangabe
Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search.
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Über die Autorin bzw. den Autor
Dr. Khalid Bin Hasnan is currently the Head of Industry Centre of Excellence for Railway under the Ministry of Education Malaysia. He is also the Head of Program for the Masters of Science in Railway Engineering at (UTHM). He has held the posts of Deputy Dean (Research and Development) in the Faculty of Mechanical and Manufacturing Engineering.
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An efficient algorithm for large-scale RFID Network Planning
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LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202682507
ISBN 13: 9786202682503
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search. 56 pp. Englisch. Bestandsnummer des Verkäufers 9786202682503
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An efficient algorithm for large-scale RFID Network Planning
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ISBN 13: 9786202682503
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An efficient algorithm for large-scale RFID Network Planning
Verlag:
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202682507
ISBN 13: 9786202682503
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Bestandsnummer des Verkäufers 9786202682503
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An efficient algorithm for large-scale RFID Network Planning
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202682507
ISBN 13: 9786202682503
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Radio Frequency Identification (RFID) technology as a new inventory tracking technology has achieved significant development in many practical industrial scenarios, where much great application potential has been realized and many are being explored. In many real-world RIFD applications, such as production, logistics, and supply chain management, more and more readers are deployed to provide complete coverage of all the tags in the given area. Large-scale radio frequency identification (RFID) network planning (RNP) problem has been proven to be an NP-hard issue, which can be formulated as a high dimensional nonlinear optimization problem with a mixture of discrete and continuous variables and uncertain parameters. In the RFID system, the optimization technique was very helpful in solving problems of large search spaces, high complexity, searching ill-structured spaces. For this reason, nature-inspired algorithms applied in this area. In the past two decades, evolutionary computation (EC) and swarm intelligence (SI) techniques for solving RNP problems have gained increasing attention, such as particle swarm optimization algorithms (PSO), Firefly algorithm (FA), and Cuckoo Search. Bestandsnummer des Verkäufers 9786202682503
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An efficient algorithm for large-scale RFID Network Planning
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ISBN 10: 6202682507
ISBN 13: 9786202682503
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Taschenbuch. Zustand: Neu. An efficient algorithm for large-scale RFID Network Planning | Khalid Bin Hasnan (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202682503 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 119170005
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