Advancing Parametric Optimization
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Advancing Parametric Optimization
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Author : Nathan Adelgren
language : en
Publisher: Springer Nature
Release Date : 2021-01-21
Advancing Parametric Optimization written by Nathan Adelgren and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-21 with Mathematics categories.
The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a function of the parameters.The theory and methodology presented in this work allows one to solve both Linear Programs and convex Quadratic Programs containing parameters in any location within the problem data as well as multi-objective optimization problems with any number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread, ranging from business and economics to chemical and environmental engineering. Prior to this work, no solution procedure existed for these general classes of problems except for the recently proposed algorithms
Simulation Based Optimization
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Author : Abhijit Gosavi
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-06-30
Simulation Based Optimization written by Abhijit Gosavi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-30 with Science categories.
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. The book's objective is two-fold: (1) It examines the mathematical governing principles of simulation-based optimization, thereby providing the reader with the ability to model relevant real-life problems using these techniques. (2) It outlines the computational technology underlying these methods. Taken together these two aspects demonstrate that the mathematical and computational methods discussed in this book do work. Broadly speaking, the book has two parts: (1) parametric (static) optimization and (2) control (dynamic) optimization. Some of the book's special features are: *An accessible introduction to reinforcement learning and parametric-optimization techniques. *A step-by-step description of several algorithms of simulation-based optimization. *A clear and simple introduction to the methodology of neural networks. *A gentle introduction to convergence analysis of some of the methods enumerated above. *Computer programs for many algorithms of simulation-based optimization.
Modern Optimization Techniques For Advanced Machining
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Author : Imhade P. Okokpujie
language : en
Publisher: Springer Nature
Release Date : 2023-07-21
Modern Optimization Techniques For Advanced Machining written by Imhade P. Okokpujie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Technology & Engineering categories.
Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry has increased tremendously due to its lightweight to high strength ratio and high-level resistance to corrosion. However, aluminum alloy has some challenges during the machining and manufacturing stage in order to solve real-life manufacturing challenges in advanced machining operation for sustainable production processes. Therefore, it is a need for the implementation of a general algebraic modeling system (GAMS) and other metaheuristic techniques for problem solving and to effectively develop mathematical models for high accuracy prediction and optimization under nano-lubrication machining conditions. This book discusses majorly on the major three responses in machining such as surface roughness, cutting force, and material removal rate, which will give an excellent guide to undergraduate and postgraduate students, senior research fellows in academia, operational, and strategic staff in manufacturing industries.
Advanced Engineering Optimization Through Intelligent Techniques
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Author : Ravipudi Venkata Rao
language : en
Publisher: Springer Nature
Release Date : 2024-10-14
Advanced Engineering Optimization Through Intelligent Techniques written by Ravipudi Venkata Rao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book comprises peer-reviewed papers presented at the 4th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2023. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, particle swarm optimization, gravitational search algorithm, ant lion optimization, dragonfly algorithm, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, many other latest meta-heuristic techniques, machine learning algorithms, and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, PROMETHEE, desirability function, SWARA, R-method, BHARAT method, Taguchi method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.
Advanced Engineering Optimization Through Intelligent Techniques
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Author : R. Venkata Rao
language : en
Publisher: Springer
Release Date : 2019-07-09
Advanced Engineering Optimization Through Intelligent Techniques written by R. Venkata Rao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-09 with Computers categories.
This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.
Advanced Techniques In Porous Structure Design For Additive Manufacturing
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Author : Musaddiq Al Ali
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-03
Advanced Techniques In Porous Structure Design For Additive Manufacturing written by Musaddiq Al Ali and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Technology & Engineering categories.
Concise, practical guide presenting skills to integrate porous structure design with additive manufacturing requirements Part of Wiley’s Additive Manufacturing Skills in Practice series and written with the industry practitioner in mind, Advanced Techniques in Porous Structure Design for Additive Manufacturing addresses the growing integration of porous structures and additive manufacturing, essential for applications in the biomedical, aerospace, and automotive fields in which porous structures are crucial due to their ability to deliver top-notch performance alongside lightweight characteristics. This book covers all areas of the subject and concludes with a series of specialized chapters devoted to simulation software, case studies, and future trends and emerging technologies. Each chapter features a design problem that presents an open-ended scenario to prompt readers to think through the real-world applications of the concepts and theories discussed and connect them to their own job roles. Topics discussed in Advanced Techniques in Porous Structure Design for Additive Manufacturing include: Fundamentals of additive manufacturing, covering processes, materials, and design considerations Mathematical modeling, covering optimization techniques and the finite element method Multiscale topology optimization, shape optimization methods, and post-processing techniques Software utilization in porous structure design, with information on how to program simulations Porous structures in soft robotics, porous heat sinks, porous plates, and porous mechanical support structures With a blend of theoretical understanding and hands-on expertise in an emerging domain, Advanced Techniques in Porous Structure Design for Additive Manufacturing is an essential reference for industry professionals, researchers, and postgraduate students in universities, particularly those specializing in mechanical design and additive manufacturing.
Modeling And Optimization Of Advanced Manufacturing Processes
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Author : Sumit Bhowmik
language : en
Publisher: Springer
Release Date : 2018-09-01
Modeling And Optimization Of Advanced Manufacturing Processes written by Sumit Bhowmik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Technology & Engineering categories.
This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.
Advanced Multiresponse Process Optimisation
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Author : Tatjana V. Šibalija
language : en
Publisher: Springer
Release Date : 2015-07-25
Advanced Multiresponse Process Optimisation written by Tatjana V. Šibalija and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-25 with Technology & Engineering categories.
This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.
Advanced Optimization By Nature Inspired Algorithms
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Author : Omid Bozorg-Haddad
language : en
Publisher: Springer
Release Date : 2017-06-30
Advanced Optimization By Nature Inspired Algorithms written by Omid Bozorg-Haddad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Technology & Engineering categories.
This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
Optimization Of Advanced Manufacturing Processes
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Author : Sandip Kunar
language : en
Publisher: CRC Press
Release Date : 2024-11-29
Optimization Of Advanced Manufacturing Processes written by Sandip Kunar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Business & Economics categories.
Optimization for advanced manufacturing processes in fabrication is becoming increasingly important around the world across a range of industries because of its improved productivity, capabilities, efficacy, and sustainability characteristics. This new book explains how to optimize various industrial systems and processes utilizing new significant statistical and evolutionary methodologies. Statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization are covered here, with relevant theoretical details, salient characteristics, implementation processes, effectiveness studies, and results in manufacturing. The chapters present a variety of advanced manufacturing processes and optimization techniques. Processes are described with basic explanations, characteristics, and applications in various technological and biomedical domains. The chapters address the processes prediction of mechanical properties, design and development of tools, impact of power supply, increasing machining precision and efficiency, genetic algorithm optimization, additive manufacturing, and much more. Providing a comprehensive study of advanced manufacturing processes, this volume is a valuable reference for engineers and R&D researchers involved in optimization for advanced manufacturing processes as well as for academics and postgraduate-level students in mechanical engineering, manufacturing engineering, and machining processes.