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RT Book, Whole SR Electronic DC OPAC T1 Optimization and machine learning : optimization for machine learning and machine learning for optimization / coordinated by Rachid Chelouah, Patrick Siarry T2 Sciences. Computer science. Operational research and decision A1 Chelouah, Rachid A1 Siarry, Patrick YR 2022 FD 2022 SP 1 online resource K1 Machine learning K1 Mathematical optimization K1 Apprentissage automatique K1 Optimisation math�ematique K1 Machine learning K1 Mathematical optimization PB ISTE, Ltd. : Wiley PP London, UK ; Hoboken, NJ SN 9781119902881 SN 1119902886 SN 9781119902874 SN 1119902878 LA English (英語) CL LCC:Q325.5 CL DC23:006.3/1 NO Includes bibliographical references and index NO Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated NO Front Matter -- Optimization. Vehicle Routing Problems with Loading Constraints: An Overview of Variants and Solution Methods / Ines Sbai, Saoussen Krichen -- MAS-aware Approach for QoS-based IoT Workflow Scheduling in Fog-Cloud Computing / Marwa Mokni, Sonia Yassa -- Solving Feature Selection Problems Built on Population-based Metaheuristic Algorithms / Mohamed Sassi -- Solving the Mixed-model Assembly Line Balancing Problem by using a Hybrid Reactive Greedy Randomized Adaptive Search Procedure / Belkharroubi Lakhdar, Khadidja Yahyaoui -- Machine Learning. An Interactive Attention Network with Stacked Ensemble Machine Learning Models for Recommendations / Ahlem Drif, SaadEddine Selmani, Hocine Cherifi -- A Comparison of Machine Learning and Deep Learning Models with Advanced Word Embeddings: The Case of Internal Audit Reports / Gustavo Fleury Soares, Induraj Pudhupattu Ramamurthy -- Hybrid Approach based on Multi-agent System and Fuzzy Logic for Mobile Robot Autonomous Navigation / Khadidja Yahyaoui -- Intrusion Detection with Neural Networks: A Tutorial / Alvise De' Faveri Tron -- List of Authors -- Index NO Online resource; title from PDF title page (John Wiley, viewed March 3, 2022) NO John Wiley and Sons Wiley Online Library: Complete oBooks NO HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119902881 NO 書誌ID=EB00004541; LK [E Book]https://onlinelibrary.wiley.com/doi/book/10.1002/9781119902881 OL 30