Meta 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 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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  • Author : Aidin Delgoshaei
  • Publisher : Academic Press
  • Pages : 512 pages
  • ISBN : 0128204249
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMeta Heuristic Algorithms in Production Engineering

Meta-Heuristic Algorithms in Production Engineering

Meta-Heuristic Algorithms in Production Engineering
  • Author : Aidin Delgoshaei,Gursel Suer
  • Publisher : Academic Press
  • Release : 01 February 2022
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

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 : 29 September 2021
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

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 : 30 September 2012
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,

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 : 09 October 2017
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 Optimization Techniques

Meta-heuristic Optimization Techniques
  • Author : Anuj Kumar,Sangeeta Pant,Mangey Ram,Om Yadav
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 19 January 2022
GET THIS BOOKMeta-heuristic Optimization Techniques

This book offer a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature inspired algorithms. Their wide applicability makes them a hot research topic and an efficient tool for the solution of complex optimization problems in various field of sciences, engineering and in numerous industries.

Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization Using Evolutionary Algorithms and Metaheuristics
  • Author : Kaushik Kumar,J. Paulo Davim
  • Publisher : CRC Press
  • Release : 22 August 2019
GET THIS BOOKOptimization Using Evolutionary Algorithms and Metaheuristics

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

Applications of Metaheuristics in Process Engineering

Applications of Metaheuristics in Process Engineering
  • Author : Jayaraman Valadi,Patrick Siarry
  • Publisher : Springer
  • Release : 07 August 2014
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

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems
  • Author : Faruk Y?lmaz, Ömer,Tüfekçí, Süleyman
  • Publisher : IGI Global
  • Release : 30 November 2017
GET THIS BOOKHandbook of Research on Applied Optimization Methodologies in Manufacturing Systems

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

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 : 14 April 2020
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

Scheduling in Industry 4.0 and Cloud Manufacturing

Scheduling in Industry 4.0 and Cloud Manufacturing
  • Author : Boris Sokolov,Dmitry Ivanov,Alexandre Dolgui
  • Publisher : Springer Nature
  • Release : 08 June 2020
GET THIS BOOKScheduling in Industry 4.0 and Cloud Manufacturing

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

Advances in Computational Methods in Manufacturing

Advances in Computational Methods in Manufacturing
  • Author : R. Ganesh Narayanan,Shrikrishna N. Joshi,Uday Shanker Dixit
  • Publisher : Springer Nature
  • Release : 17 October 2019
GET THIS BOOKAdvances in Computational Methods in Manufacturing

This volume presents a selection of papers from the 2nd International Conference on Computational Methods in Manufacturing (ICCMM 2019). The papers cover the recent advances in computational methods for simulating various manufacturing processes like machining, laser welding, laser bending, strip rolling, surface characterization and measurement. Articles in this volume discuss both the development of new methods and the application and efficacy of existing computational methods in manufacturing sector. This volume will be of interest to researchers in both industry and academia

Advancements in Applied Metaheuristic Computing

Advancements in Applied Metaheuristic Computing
  • Author : Dey, Nilanjan
  • Publisher : IGI Global
  • Release : 30 November 2017
GET THIS BOOKAdvancements in Applied Metaheuristic Computing

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication

Engineering Optimization

Engineering Optimization
  • Author : Xin-She Yang
  • Publisher : John Wiley & Sons
  • Release : 20 July 2010
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