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Meta Heuristic Algorithms In Production Engineering

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Meta Heuristic Algorithms in Production Engineering

Meta Heuristic Algorithms in Production Engineering Book
Author : Aidin Delgoshaei,Gursel Suer
Publisher : Academic Press
Release : 2022-02-01
ISBN : 0128204249
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Release : 2021-09-29
ISBN : 1000435989
Language : En, Es, Fr & De

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Book Description :

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.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Otto Nissfolk,Tapio Westerlund
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085770
Language : En, Es, Fr & De

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Book Description :

This paper focuses on the formulation and solution of binary quadratic problems. A new metaheuristic approach is presented in order to acquire good solutions. Computational results show that the heuristic solver finds good solutions quite fast. One of the test problems is tai256c, a gray-scale pattern problem by found in the QAPLIB (, http://www.seas.upenn.edu/qaplib/inst.html). The tai256c problem has been written in a quadratic form by and then convexified using the QCR method by . The algorithm is based on an iterative two- stage selection of variables to optimize. First the algorithm goes trough the vector of binary variables of length k, chooses the m-first variables (m

Applications of Metaheuristics in Process Engineering

Applications of Metaheuristics in Process Engineering Book
Author : Jayaraman Valadi,Patrick Siarry
Publisher : Springer
Release : 2014-08-07
ISBN : 3319065084
Language : En, Es, Fr & De

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Book Description :

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.

Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization Using Evolutionary Algorithms and Metaheuristics Book
Author : Kaushik Kumar,J. Paulo Davim
Publisher : CRC Press
Release : 2019-08-22
ISBN : 1000537145
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Dr. M Sunil Kumar,Dr. V. Anantha Natarajan,Dr. Suresh Kallam
Publisher : Lulu.com
Release : 2021-12-03
ISBN : 1678146102
Language : En, Es, Fr & De

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Book Description :

Download SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS book written by Dr. M Sunil Kumar,Dr. V. Anantha Natarajan,Dr. Suresh Kallam, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applications Book
Author : Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Publisher : Springer Nature
Release : 2021-05-02
ISBN : 9813367733
Language : En, Es, Fr & De

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Book Description :

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.

Recent Metaheuristic Computation Schemes in Engineering

Recent Metaheuristic Computation Schemes in Engineering Book
Author : Erik Cuevas,Alma Rodríguez (Computer science scholar),Avelina Alejo-Reyes,Carolina Del-Valle-Soto
Publisher : Springer Nature
Release : 2021
ISBN : 3030660079
Language : En, Es, Fr & De

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Book Description :

This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand.

Advances in Structural Engineering Optimization

Advances in Structural Engineering   Optimization Book
Author : Sinan Melih Nigdeli,Gebrail Bekdaş,Aylin Ece Kayabekir,Melda Yucel
Publisher : Springer Nature
Release : 2020-12-04
ISBN : 303061848X
Language : En, Es, Fr & De

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Book Description :

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.

Metaheuristic Optimization Algorithms in Civil Engineering New Applications

Metaheuristic Optimization Algorithms in Civil Engineering  New Applications Book
Author : Ali Kaveh,Armin Dadras Eslamlou
Publisher : Springer Nature
Release : 2020-04-14
ISBN : 3030454738
Language : En, Es, Fr & De

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Book Description :

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 for Scheduling in Industrial and Manufacturing Applications

Metaheuristics for Scheduling in Industrial and Manufacturing Applications Book
Author : Fatos Xhafa,Ajith Abraham
Publisher : Springer
Release : 2008-08-22
ISBN : 3540789855
Language : En, Es, Fr & De

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Book Description :

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).

Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance

Meta Heuristics Optimization Algorithms in Engineering  Business  Economics  and Finance Book
Author : Vasant, Pandian M.
Publisher : IGI Global
Release : 2012-09-30
ISBN : 1466620870
Language : En, Es, Fr & De

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Book Description :

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.

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems Book
Author : Faruk Y?lmaz, Ömer,Tüfekçí, Süleyman
Publisher : IGI Global
Release : 2017-11-30
ISBN : 1522529454
Language : En, Es, Fr & De

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Book Description :

Today’s manufacturing systems are undergoing significant changes in the aspects of planning, production execution, and delivery. It is imperative to stay up-to-date on the latest trends in optimization to efficiently create products for the market. The Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems is a pivotal reference source including the latest scholarly research on heuristic models for solving manufacturing and supply chain related problems. Featuring exhaustive coverage on a broad range of topics such as assembly ratio, car sequencing, and color constraints, this publication is ideally designed for practitioners seeking new comprehensive models for problem solving in manufacturing and supply chain management.

Metaheuristics and Optimization in Computer and Electrical Engineering

Metaheuristics and Optimization in Computer and Electrical Engineering Book
Author : Navid Razmjooy,Mohsen Ashourian,Zahra Foroozandeh
Publisher : Springer Nature
Release : 2020-11-16
ISBN : 3030566897
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Boris Sokolov,Dmitry Ivanov,Alexandre Dolgui
Publisher : Springer Nature
Release : 2020-06-08
ISBN : 3030431770
Language : En, Es, Fr & De

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Book Description :

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.

Nature Inspired Methods for Metaheuristics Optimization

Nature Inspired Methods for Metaheuristics Optimization Book
Author : Fouad Bennis,Rajib Kumar Bhattacharjya
Publisher : Springer Nature
Release : 2020-01-17
ISBN : 3030264580
Language : En, Es, Fr & De

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Book Description :

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.

Encyclopedia of Optimization

Encyclopedia of Optimization Book
Author : Christodoulos A. Floudas,Panos M. Pardalos
Publisher : Springer Science & Business Media
Release : 2008-09-04
ISBN : 0387747583
Language : En, Es, Fr & De

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Book Description :

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".

21st European Symposium on Computer Aided Process Engineering

21st European Symposium on Computer Aided Process Engineering Book
Author : Anonim
Publisher : Elsevier
Release : 2011-06-10
ISBN : 0444538968
Language : En, Es, Fr & De

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Book Description :

The European Symposium on Computer Aided Process Engineering (ESCAPE) series presents the latest innovations and achievements of leading professionals from the industrial and academic communities. The ESCAPE series serves as a forum for engineers, scientists, researchers, managers and students to present and discuss progress being made in the area of computer aided process engineering (CAPE). European industries large and small are bringing innovations into our lives, whether in the form of new technologies to address environmental problems, new products to make our homes more comfortable and energy efficient or new therapies to improve the health and well being of European citizens. Moreover, the European Industry needs to undertake research and technological initiatives in response to humanity's "Grand Challenges," described in the declaration of Lund, namely, Global Warming, Tightening Supplies of Energy, Water and Food, Ageing Societies, Public Health, Pandemics and Security. Thus, the Technical Theme of ESCAPE 21 will be "Process Systems Approaches for Addressing Grand Challenges in Energy, Environment, Health, Bioprocessing & Nanotechnologies."

Applications of Metaheuristic Optimization Algorithms in Civil Engineering

Applications of Metaheuristic Optimization Algorithms in Civil Engineering Book
Author : A. Kaveh
Publisher : Springer
Release : 2016-11-30
ISBN : 331948012X
Language : En, Es, Fr & De

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Book Description :

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.

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 Book
Author : Vasant, Pandian
Publisher : IGI Global
Release : 2016-03-08
ISBN : 1466696451
Language : En, Es, Fr & De

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Book Description :

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. .