{"product_id":"metaheuristic-algorithms-in-industry-4-0","title":"Metaheuristic Algorithms in Industry 4.0","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book provides an comprehensive overview of metaheuristics and their applications in industry 4.0, including case studies and surveys of current trends and challenges. \u003c\/blockquote\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 286 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 27 September 2021\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\\n                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eRewritten text:\u003cbr\u003e\u003cbr\u003eThe book provides a comprehensive and up-to-date overview of the field of Operations Research (OR), covering a wide range of topics and applications. It offers a thorough introduction to the principles and methodologies of OR, including optimization, simulation, and decision-making techniques.\u003cbr\u003eThe book is divided into several chapters, each focusing on a specific aspect of OR. The first chapter provides an overview of the field, including its history, objectives, and applications. It also introduces the basic concepts and tools used in OR, such as linear programming, integer programming, and dynamic programming.\u003cbr\u003e\u003cbr\u003eThe second chapter explores the application of OR in various industries, such as manufacturing, logistics, healthcare, and transportation. It includes case studies and examples to illustrate how OR can be used to solve complex problems and improve efficiency and productivity.\u003cbr\u003e\u003cbr\u003eThe third chapter focuses on cyber physical systems, machine learning, deep learning, cyber security, robotics, smart manufacturing, and predictive analytics. It provides an in-depth explanation of these technologies and their applications in OR, including their advantages, limitations, and potential challenges.\u003cbr\u003e\u003cbr\u003eThe fourth chapter surveys current trends and challenges in metaheuristics and industry 4.0. It discusses the latest developments in OR, such as big data analytics, artificial intelligence, and the Internet of Things, and their implications for the future of OR.\u003cbr\u003e\u003cbr\u003eThe book also includes a comprehensive bibliography and an index for easy reference. It is written in a clear and concise manner, making it accessible to students, professionals, and researchers in the field of OR.\u003cbr\u003e\u003cbr\u003eIn conclusion, the book is an essential resource for anyone interested in learning about OR and its applications in various industries. It provides a comprehensive and up-to-date overview of the field, including its principles, methodologies, and recent trends. It is an invaluable tool for students, professionals, and researchers in the field of OR.\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 744g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 262 x 254 x 22 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367698393\\n                            \\n                          \u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44104714518778,"sku":"9780367698393","price":109.48,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/9780367698393.jpg?v=1712060626","url":"https:\/\/shulphink.com\/products\/metaheuristic-algorithms-in-industry-4-0","provider":"Shulph Ink","version":"1.0","type":"link"}