Applications metaheuristics optimization engineering (16 Ergebnisse)
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Sprache: Englisch
Verlag: CRC Pr I Llc, 2021
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Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer International Publishing, 2025
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, with a specific focus on the Economic Order Quantity (EOQ) problem. It strikes a unique balance by thoroughly discussing the underlying con…cepts and theories, equipping the reader with the knowledge needed to develop their own programs for solving complex optimization problems in the field. A distinctive feature of this book is its extensive use of MATLAB implementations, which serves as a practical tool to bridge the gap between theory and real-world application. The book is structured with the understanding that learning is accelerated when theoretical concepts are complemented by practical, code-based problem-solving examples. This approach is particularly beneficial for students who may have a weaker background in mathematics, as it demonstrates the practicality and effectiveness of optimization in a more accessible manner. The inclusion of ready-made code examples not only makes the subject matter more engaging for students but also encourages them to experiment, modify, and enhance the code with their own ideas. This method of learning is designed to be less daunting and more stimulating, particularly for those who might feel overwhelmed by the prospect of developing complex programs from scratch. The book's approach is aimed at demystifying the complexities of optimization in industrial engineering, making it more approachable and interesting for students and practitioners alike.Diverging from other texts that primarily focus on classical techniques for addressing optimization problems in industrial engineering, this book sets itself apart by delving into modern metaheuristic methods. Metaheuristic techniques have gained recognition for their efficacy in tackling complex problems that are often laden with diverse and challenging constraints. These methods, which include algorithms such as simulated annealing, and particleswarm optimization, offer a more dynamic and flexible approach to finding solutions compared to traditional methods. They are particularly adept at navigating vast search spaces and identifying optimal or near-optimal solutions in scenarios where conventional approaches might struggle. This inclusion of metaheuristic methods gives the book a unique quality, providing readers with a comprehensive understanding of both the established foundations and the cutting-edge advancements in the field of optimization. The book's exploration of these advanced techniques not only broadens the reader's knowledge base but also equips them with the tools to effectively solve more intricate and nuanced problems encountered in industrial engineering. This dual focus on classical and modern methods positions the book as a valuable and forward-thinking resource in the realm of industrial optimization.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, with a specific focus on the Economic Order Quantity (EOQ) problem. It strikes a unique balance by thoroughly discussing the underly…ing concepts and theories, equipping the reader with the knowledge needed to develop their own programs for solving complex optimization problems in the field. A distinctive feature of this book is its extensive use of MATLAB implementations, which serves as a practical tool to bridge the gap between theory and real-world application. The book is structured with the understanding that learning is accelerated when theoretical concepts are complemented by practical, code-based problem-solving examples. This approach is particularly beneficial for students who may have a weaker background in mathematics, as it demonstrates the practicality and effectiveness of optimization in a more accessible manner. The inclusion of ready-made code examples not only makes the subject matter more engaging for students but also encourages them to experiment, modify, and enhance the code with their own ideas. This method of learning is designed to be less daunting and more stimulating, particularly for those who might feel overwhelmed by the prospect of developing complex programs from scratch. The book's approach is aimed at demystifying the complexities of optimization in industrial engineering, making it more approachable and interesting for students and practitioners alike.Diverging from other texts that primarily focus on classical techniques for addressing optimization problems in industrial engineering, this book sets itself apart by delving into modern metaheuristic methods. Metaheuristic techniques have gained recognition for their efficacy in tackling complex problems that are often laden with diverse and challenging constraints. These methods, which include algorithms such as simulated annealing, and particleswarm optimization, offer a more dynamic and flexible approach to finding solutions compared to traditional methods. They are particularly adept at navigating vast search spaces and identifying optimal or near-optimal solutions in scenarios where conventional approaches might struggle. This inclusion of metaheuristic methods gives the book a unique quality, providing readers with a comprehensive understanding of both the established foundations and the cutting-edge advancements in the field of optimization. The book's exploration of these advanced techniques not only broadens the reader's knowledge base but also equips them with the tools to effectively solve more intricate and nuanced problems encountered in industrial engineering. This dual focus on classical and modern methods positions the book as a valuable and forward-thinking resource in the realm of industrial optimization.
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Taschenbuch. Zustand: Neu. Optimization in Industrial Engineering | From Classical Methods to Modern Metaheuristics with MATLAB Applications | Erik Cuevas (u. a.) | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9783031740299 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, jue…rgen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Weitere BilderSprache: Englisch
Verlag: CRC Press, 2021
- Softcover
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Taschenbuch. Zustand: Neu. Optimization Using Evolutionary Algorithms and Metaheuristics | Applications in Engineering | Kaushik Kumar (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9780367779313 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]li…bri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: CRC Press, 2019
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Sprache: Englisch
Verlag: Springer, 2021
Serie: Buch 12 von 14 - Modeling and Optimization in Science and Technologies
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Taschenbuch. Zustand: Neu. Nature-Inspired Methods for Metaheuristics Optimization | Algorithms and Applications in Science and Engineering | Fouad Bennis (u. a.) | Taschenbuch | Modeling and Optimization in Science and Technologies | xiii | Englisch | 2021 | Springer | EAN 9783030264604 | Verantwortliche Person für die EU: Spri…nger Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
Serie: Buch 12 von 14 - Modeling and Optimization in Science and Technologies
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using som…e test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
Sprache: Englisch
Verlag: Springer International Publishing, 2020
Serie: Buch 12 von 14 - Modeling and Optimization in Science and Technologies
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test…or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
Sprache: Englisch
Verlag: Springer Nature, 2020
Serie: Buch 12 von 14 - Modeling and Optimization in Science and Technologies
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- Softcover
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Softcover. Zustand: gut. 2023. This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on S…oft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field. Dr. Rajesh Kumar received the Bachelor of Technology in Engineering degree with honours in Electrical Engineering from the Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India, in 1994, Master of Engineering with honours in Power Engineering from the Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India, in 1997 and Ph.D. degree in Intelligent Systems from Department of Electrical Engineering, Malaviya National Institute of Technology (MREC, University of Rajasthan), India, in 2005. He is currently Professor at Department of Electrical Engineering and Adjunct Professor at Centre of Energy and Environment at Malaviya National Institute of Technology, Jaipur, India. He has been Research Fellow (A) at the Department of Electrical and Computer Engineering at National University of Singapore from 2009-2011. He has been Reader from 2005-2009, Senior Lecturer from 2000-2005 and Lecturer from 1995-2000 at Department of Electrical Engineering, Malaviya National Institute of Technology. He is Founder of ZINE student innovative group. His background is in the fields of computational intelligence, artificial intelligence, intelligent systems, power and energy management, robotics, bioinformatics, smart grid and computer vision. Ajit K. Verma is Professor in the Faculty of Engineering and Natural Sciences, Western Norway University of Applied Sciences, Haugesund, Norway (since March 2012) and has been Professor (since Feb 2001) with the Department of Electrical Engineering at IIT Bombay with a research focus in Reliability and Safety Engineering. He was Director of the International Institute of Information Technology, Pune, on lien from IIT Bombay, from Aug 2009Sep 2010. He is also Guest Professor at Lulea University of Technology, Sweden. He has supervised/co-supervised 38 Ph.D.s and 95 Masters theses in the area of software reliability, reliable computing,power systems reliability (PSR), reliability centred maintenance (RCM) and probabilistic safety/risk assessment (PSA). He has executed various research projects to promote industry interface and has been course co-ordinator for industry CEPs like reliability engineering, six sigma, software inspections, competency tracking system and software reliability for IT industries. He is Springer Book Series Editor of Asset Analytics-Performance and Safety Management, Fire safety Engineering and Management and Reliable & Sustainable Electric Power and Energy Systems Management and has jointly edited books titled Reliability and Risk Evaluation of Wind Integrated Power Systems(Springer), Reliability Modelling Analysis of Smart Power Systems (Springer) & Current Trends in Reliability, Availability, Maintainability and Safety(Springer) and is Author of books titled Fuzzy Reliability Engineering-Concepts and Applications (Alpha science international - Narosa), Reliability and Safety Engineering (Springer) and Dependability of Networked Computer Based Systems (Springer), Risk Management of Non-Renewable Energy Systems(Springer) and Optimal Maintenance of Large Engineering Systems(Narosa). He has over 250 publications in various journals (over 100 papers) and conferences. He is Senior Member of IEEE and Life Fellow of IETE. He has been Editor-in-Chief of OPSEARCH published by Springer(Jan 2008-Jan 2011) as well as Founder Edit.
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