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Meta-Heuristic Algorithms in Production Engineering

Meta-Heuristic Algorithms in Production Engineering
Recent Advances, New Perspectives, and Applications

by Aidin Delgoshaei,Gursel Suer

  • Publisher : Academic Press
  • Release : 2022-02-01
  • Pages : 512
  • ISBN : 0128204249
  • Language : En, Es, Fr & De
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Meta-Heuristic Algorithms in Production Engineering is a ground-breaking exploration of the new ways that meta-heuristic algorithms can be used to optimize planning and scheduling problems in production engineering. Putting equal emphasis on mathematics and engineering knowledge, this book provides the perfect guide to using meta-heuristics in a range of innovative ways, addressing problems in areas like facility location, location-allocation, job shop-scheduling, flow shop-scheduling, and group technology. To start with, the author draws on production engineering knowledge to help the reader to analyse and frame their problem for solution. Next, the different algorithms are dealt with in detail, starting with the meta-heuristic, its logic, and its standard mechanism. Then the very latest applications are described, before fully worked examples are provided with MATLAB code. This invaluable resource also acts as a review of the latest advances in meta-heuristics including genetic algorithm, simulated annealing, tabu search, ant colony optimization, particle swarm methods, and artificial neural networks. Provides step-by-step instructions to applying meta-heuristics algorithms to real production engineering problems Explores numerous pioneering applications of meta-heuristics in industrial engineering and industrial management Examines a wide range of algorithms, enabling comparison and informing selection decisions · Includes Matlab codes that will save users many hours of their own time and effort

Metaheuristic Algorithms in Industry 4.0

Metaheuristic Algorithms in Industry 4.0
A Book

by Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry

  • Publisher : CRC Press
  • Release : 2021-09-29
  • Pages : 300
  • ISBN : 1000435989
  • Language : En, Es, Fr & De
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Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Metaheuristics for Scheduling in Industrial and Manufacturing Applications
A Book

by Fatos Xhafa,Ajith Abraham

  • Publisher : Springer Science & Business Media
  • Release : 2008-06-21
  • Pages : 346
  • ISBN : 3540789847
  • Language : En, Es, Fr & De
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During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).

Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization Using Evolutionary Algorithms and Metaheuristics
Applications in Engineering

by Kaushik Kumar,J. Paulo Davim

  • Publisher : CRC Press
  • Release : 2019-08-22
  • Pages : 136
  • ISBN : 1000537145
  • Language : En, Es, Fr & De
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Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering

SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS

SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS
A Book

by Dr. M Sunil Kumar, Dr. V. Anantha Natarajan and Dr. Suresh Kallam

  • Publisher : Lulu Publication
  • Release : 2020-03-04
  • Pages : 140
  • ISBN : 1678146102
  • Language : En, Es, Fr & De
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This paper examines the perceived research gap in software requirements engineering, with a particular focus on requirement specification and modeling. Various contributions by researchers to write requirements specifications in the literature are reviewed and in addition practitioner’s viewpoints are also taken into consideration. On comparing the research and practice in this field, possible causes for the gap are identified. The barriers to adopt research contributions in practice are also reviewed. Finally recommendations to overcome this gap are made, which are the basis for an on-going study that aims to produce empirical study related to assessing requirements engineering.

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
A Book

by Vasant, Pandian M.

  • Publisher : IGI Global
  • Release : 2012-09-30
  • Pages : 734
  • ISBN : 1466620870
  • Language : En, Es, Fr & De
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Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS

SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS
A Book

by Dr. M Sunil Kumar,Dr. V. Anantha Natarajan,Dr. Suresh Kallam

  • Publisher : Lulu.com
  • Release : 2021
  • Pages : 129
  • ISBN : 1678146102
  • Language : En, Es, Fr & De
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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
A Book

by Serdar Carbas,Abdurrahim Toktas,Deniz Ustun

  • Publisher : Springer Nature
  • Release : 2021-05-02
  • Pages : 404
  • ISBN : 9813367733
  • Language : En, Es, Fr & De
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This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

Applications of Metaheuristics in Process Engineering

Applications of Metaheuristics in Process Engineering
A Book

by Jayaraman Valadi,Patrick Siarry

  • Publisher : Springer
  • Release : 2014-08-07
  • Pages : 444
  • ISBN : 3319065084
  • Language : En, Es, Fr & De
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Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns and static and dynamic optimization of chemical and bioreactors. This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.

Applications of Metaheuristic Optimization Algorithms in Civil Engineering

Applications of Metaheuristic Optimization Algorithms in Civil Engineering
A Book

by A. Kaveh

  • Publisher : Springer
  • Release : 2016-11-30
  • Pages : 373
  • ISBN : 331948012X
  • Language : En, Es, Fr & De
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The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.

Recent Metaheuristic Computation Schemes in Engineering

Recent Metaheuristic Computation Schemes in Engineering
A Book

by Erik Cuevas

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 3030660079
  • Language : En, Es, Fr & De
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Advances in Structural Engineering—Optimization

Advances in Structural Engineering—Optimization
Emerging Trends in Structural Optimization

by Sinan Melih Nigdeli,Gebrail Bekdaş,Aylin Ece Kayabekir,Melda Yucel

  • Publisher : Springer Nature
  • Release : 2020-12-04
  • Pages : 310
  • ISBN : 303061848X
  • Language : En, Es, Fr & De
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This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

Production Engineering and Management under Fuzziness

Production Engineering and Management under Fuzziness
A Book

by Cengiz Kahraman,Mesut Yavuz

  • Publisher : Springer Science & Business Media
  • Release : 2010-05-19
  • Pages : 605
  • ISBN : 3642120512
  • Language : En, Es, Fr & De
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Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in multiple continents. The product of a production system can also vary in complexity based on the material used, technology employed, etc. Every product, whether a pencil or an airplane, is produced in a system which depends on good management to be successful. Production management has been at the center of industrial engineering and management science disciplines since the industrial revolution. The tools and techniques of production management have been so successful that they have been adopted to various service industries, as well. The book is intended to be a valuable resource to undergraduate and graduate students interested in the applications of production management under fuzziness. The chapters represent all areas of production management and are organized to reflect the natural order of production management tasks. In all chapters, special attention is given to applicability and wherever possible, numerical examples are presented. While the reader is expected to have a fairly good understanding of the fuzzy logic, the book provides the necessary notation and preliminary knowledge needed in each chapter.

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications
A Book

by Ali Kaveh,Armin Dadras Eslamlou

  • Publisher : Springer Nature
  • Release : 2020-04-14
  • Pages : 374
  • ISBN : 3030454738
  • Language : En, Es, Fr & De
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This book discusses the application of metaheuristic algorithms in a number of important optimization problems in civil engineering. Advances in civil engineering technologies require greater accuracy, efficiency and speed in terms of the analysis and design of the corresponding systems. As such, it is not surprising that novel methods have been developed for the optimal design of real-world systems and models with complex configurations and large numbers of elements. This book is intended for scientists, engineers and students wishing to explore the potential of newly developed metaheuristics in practical problems. It presents concepts that are not only applicable to civil engineering problems, but can also used for optimizing problems related to mechanical, electrical, and industrial engineering. It is an essential resource for civil, mechanical and electrical engineers who use optimization methods for design, as well as for students and researchers interested in structural optimization.

Metaheuristics and Optimization in Computer and Electrical Engineering

Metaheuristics and Optimization in Computer and Electrical Engineering
A Book

by Navid Razmjooy,Mohsen Ashourian,Zahra Foroozandeh

  • Publisher : Springer Nature
  • Release : 2020-11-16
  • Pages : 311
  • ISBN : 3030566897
  • Language : En, Es, Fr & De
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The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

Scheduling in Industry 4.0 and Cloud Manufacturing

Scheduling in Industry 4.0 and Cloud Manufacturing
A Book

by Boris Sokolov,Dmitry Ivanov,Alexandre Dolgui

  • Publisher : Springer Nature
  • Release : 2020-06-08
  • Pages : 273
  • ISBN : 3030431770
  • Language : En, Es, Fr & De
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This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.

Encyclopedia of Optimization

Encyclopedia of Optimization
A Book

by Christodoulos A. Floudas,Panos M. Pardalos

  • Publisher : Springer Science & Business Media
  • Release : 2008-09-04
  • Pages : 4622
  • ISBN : 0387747583
  • Language : En, Es, Fr & De
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The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".

Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics

Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
A Book

by Vasant, Pandian

  • Publisher : IGI Global
  • Release : 2016-03-08
  • Pages : 960
  • ISBN : 1466696451
  • Language : En, Es, Fr & De
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Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems. The Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain real-world problems. .

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
A Book

by Modestus O. Okwu,Lagouge K. Tartibu

  • Publisher : Springer Nature
  • Release : 2020-11-13
  • Pages : 192
  • ISBN : 3030611116
  • Language : En, Es, Fr & De
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This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.

Intelligent Systems in Production Engineering and Maintenance

Intelligent Systems in Production Engineering and Maintenance
A Book

by Anna Burduk,Edward Chlebus,Tomasz Nowakowski,Agnieszka Tubis

  • Publisher : Springer
  • Release : 2018-07-31
  • Pages : 785
  • ISBN : 3319974904
  • Language : En, Es, Fr & De
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The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.