Meta Heuristic Algorithms in Production Engineering

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  • Publisher : Academic Press
  • Release : 01 February 2022
  • ISBN : 9780128204245
  • Page : 512 pages
  • Rating : 4.5/5 from 103 voters

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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

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Meta-Heuristic Algorithms in Production Engineering

Meta-Heuristic Algorithms in Production Engineering
  • Author : Aidin Delgoshaei,Gursel Suer
  • Publisher : Academic Press
  • Release Date : 2022-02-01
  • ISBN : 9780128204245
GET THIS BOOKMeta-Heuristic Algorithms in Production Engineering

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

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
  • Author : Omid Bozorg-Haddad,Mohammad Solgi,Hugo A. Loáiciga
  • Publisher : John Wiley & Sons
  • Release Date : 2017-10-09
  • ISBN : 9781119386995
GET THIS BOOKMeta-heuristic and Evolutionary Algorithms for Engineering Optimization

Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (

META-HEURISTIC ALGORITHMS IN PRODUCTION ENGINEERING.

META-HEURISTIC ALGORITHMS IN PRODUCTION ENGINEERING.
  • Author : AIDIN. DELGOSHAEI
  • Publisher : Unknown
  • Release Date : 2022
  • ISBN : 0128202254
GET THIS BOOKMETA-HEURISTIC ALGORITHMS IN PRODUCTION ENGINEERING.

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

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
  • Author : Vasant, Pandian M.
  • Publisher : IGI Global
  • Release Date : 2012-09-30
  • ISBN : 9781466620872
GET THIS BOOKMeta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

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,

Applications of Metaheuristics in Process Engineering

Applications of Metaheuristics in Process Engineering
  • Author : Jayaraman Valadi,Patrick Siarry
  • Publisher : Springer
  • Release Date : 2014-08-07
  • ISBN : 9783319065083
GET THIS BOOKApplications of Metaheuristics in Process Engineering

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

Metaheuristic Algorithms in Industry 4.0

Metaheuristic Algorithms in Industry 4.0
  • Author : Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry
  • Publisher : CRC Press
  • Release Date : 2021-09-29
  • ISBN : 9781000435986
GET THIS BOOKMetaheuristic Algorithms in Industry 4.0

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

Production Engineering and Management under Fuzziness

Production Engineering and Management under Fuzziness
  • Author : Cengiz Kahraman,Mesut Yavuz
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-05-19
  • ISBN : 9783642120510
GET THIS BOOKProduction Engineering and Management under Fuzziness

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

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017
  • Author : Anna Burduk,Dariusz Mazurkiewicz
  • Publisher : Springer
  • Release Date : 2017-08-16
  • ISBN : 9783319644653
GET THIS BOOKIntelligent Systems in Production Engineering and Maintenance – ISPEM 2017

The volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in

Engineering Optimization

Engineering Optimization
  • Author : Xin-She Yang
  • Publisher : John Wiley & Sons
  • Release Date : 2010-07-20
  • ISBN : 0470640413
GET THIS BOOKEngineering Optimization

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
  • Author : Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
  • Publisher : Springer Nature
  • Release Date : 2021-05-02
  • ISBN : 9789813367739
GET THIS BOOKNature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

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

Recent Metaheuristic Computation Schemes in Engineering

Recent Metaheuristic Computation Schemes in Engineering
  • Author : Erik Cuevas,Alma Rodríguez,Avelina Alejo-Reyes,Carolina Del-Valle-Soto
  • Publisher : Springer Nature
  • Release Date : 2021-02-04
  • ISBN : 9783030660079
GET THIS BOOKRecent Metaheuristic Computation Schemes in Engineering

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,

Applications of Artificial Intelligence in Additive Manufacturing

Applications of Artificial Intelligence in Additive Manufacturing
  • Author : Salunkhe, Sachin,Hussein, Hussein Mohammed Abdel Moneam,Davim, J. Paulo
  • Publisher : IGI Global
  • Release Date : 2021-12-31
  • ISBN : 9781799885184
GET THIS BOOKApplications of Artificial Intelligence in Additive Manufacturing

After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications
  • Author : Ali Kaveh,Armin Dadras Eslamlou
  • Publisher : Springer Nature
  • Release Date : 2020-04-14
  • ISBN : 9783030454739
GET THIS BOOKMetaheuristic Optimization Algorithms in Civil Engineering: New Applications

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

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
  • Author : Otto Nissfolk,Tapio Westerlund
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-06-10
  • ISBN : 9780128085776
GET THIS BOOK23 European Symposium on Computer Aided Process Engineering

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

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
  • Author : Ghaith Rabadi
  • Publisher : Springer
  • Release Date : 2016-01-27
  • ISBN : 9783319260242
GET THIS BOOKHeuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such