Robust Control Optimization With Metaheuristics

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Robust Control Optimization with Metaheuristics

Author : Philippe Feyel
Publisher : John Wiley & Sons
ISBN 13 : 1786300427
Total Pages : 448 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Robust Control Optimization with Metaheuristics by : Philippe Feyel

Download or read book Robust Control Optimization with Metaheuristics written by Philippe Feyel and published by John Wiley & Sons. This book was released on 2017-02-21 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the automotive industry, a Control Engineer must design a unique control law that is then tested and validated on a single prototype with a level of reliability high enough to to meet a number of complex specifications on various systems. In order to do this, the Engineer uses an experimental iterative process (Trial and Error phase) which relies heavily on his or her experience. This book looks to optimise the methods for synthesising servo controllers ny making them more direct and thus quicker to design. This is achieved by calculating a final controller to directly tackle the high-end system specs.

Metaheuristics and Optimization in Computer and Electrical Engineering

Author : Navid Razmjooy
Publisher : Springer
ISBN 13 : 9783030566913
Total Pages : 311 pages
Book Rating : 4.5/5 (669 download)

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Book Synopsis Metaheuristics and Optimization in Computer and Electrical Engineering by : Navid Razmjooy

Download or read book Metaheuristics and Optimization in Computer and Electrical Engineering written by Navid Razmjooy and published by Springer. This book was released on 2021-11-17 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robot Intelligence Technology and Applications

Author : Jong-Hwan Kim
Publisher : Springer
ISBN 13 : 9811377804
Total Pages : 258 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Robot Intelligence Technology and Applications by : Jong-Hwan Kim

Download or read book Robot Intelligence Technology and Applications written by Jong-Hwan Kim and published by Springer. This book was released on 2019-04-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 6th International Conference on Robot Intelligence Technology and Applications, RiTA 2018, held in Putrajaya, Malaysia, in December 2018. The 20 full papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers present studies on machine learning; optimization; modelling and simulation; path planning; neural networks; landmark recognition; and reinforcement learning.

Metaheuristics and Optimization in Computer and Electrical Engineering

Author : Navid Razmjooy
Publisher : Springer Nature
ISBN 13 : 3030566897
Total Pages : 311 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Metaheuristics and Optimization in Computer and Electrical Engineering by : Navid Razmjooy

Download or read book Metaheuristics and Optimization in Computer and Electrical Engineering written by Navid Razmjooy and published by Springer Nature. This book was released on 2020-11-16 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Genetic Optimization for IC Chips Thermal Control

Author : Mathew V. K.
Publisher : CRC Press
ISBN 13 : 1000590437
Total Pages : 162 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Hybrid Genetic Optimization for IC Chips Thermal Control by : Mathew V. K.

Download or read book Hybrid Genetic Optimization for IC Chips Thermal Control written by Mathew V. K. and published by CRC Press. This book was released on 2022-06-07 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components. Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® Applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on a switch-mode power supply (SMPS) board and cooled using air under various heat transfer modes. Seven asymmetric protruding IC chips mounted at different positions on an SMPS board are considered in the present study that is supplied with non-uniform heat fluxes. Key Features: Provides guidance on performance enhancement and reliability of IC chips Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board The MATLAB program for the hybrid optimization strategy along with its stability analysis is carried out in a detailed manner Enables thermal design engineers to identify the positioning of IC chips on the board to increase their reliability and working cycle

Computational Intelligence and Optimization Methods for Control Engineering

Author : Maude Josée Blondin
Publisher : Springer Nature
ISBN 13 : 3030254461
Total Pages : 363 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Computational Intelligence and Optimization Methods for Control Engineering by : Maude Josée Blondin

Download or read book Computational Intelligence and Optimization Methods for Control Engineering written by Maude Josée Blondin and published by Springer Nature. This book was released on 2019-09-20 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.

Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

Author : Maude Josée Blondin
Publisher : Springer Nature
ISBN 13 : 303064541X
Total Pages : 107 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems by : Maude Josée Blondin

Download or read book Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems written by Maude Josée Blondin and published by Springer Nature. This book was released on 2021-01-06 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with nonlinearities and limitations like the inverted pendulum and the automatic voltage regulator are presented with performance comparisons. Students and researchers in engineering and optimization interested in optimization methods for controller tuning will utilize this book to apply optimization algorithms to controller tuning, to choose the most suitable optimization algorithm for a specific application, and to develop new optimization techniques for controller tuning.

Nature-Inspired Methods for Metaheuristics Optimization

Author : Fouad Bennis
Publisher : Springer Nature
ISBN 13 : 3030264580
Total Pages : 503 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Nature-Inspired Methods for Metaheuristics Optimization by : Fouad Bennis

Download or read book Nature-Inspired Methods for Metaheuristics Optimization written by Fouad Bennis and published by Springer Nature. This book was released on 2020-01-17 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Constraint Handling in Cohort Intelligence Algorithm

Author : Ishaan R. Kale
Publisher : CRC Press
ISBN 13 : 100052048X
Total Pages : 207 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Constraint Handling in Cohort Intelligence Algorithm by : Ishaan R. Kale

Download or read book Constraint Handling in Cohort Intelligence Algorithm written by Ishaan R. Kale and published by CRC Press. This book was released on 2021-12-26 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.

Metaheuristic Algorithms in Industry 4.0

Author : Pritesh Shah
Publisher : CRC Press
ISBN 13 : 1000435989
Total Pages : 302 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Metaheuristic Algorithms in Industry 4.0 by : Pritesh Shah

Download or read book Metaheuristic Algorithms in Industry 4.0 written by Pritesh Shah and published by CRC Press. This book was released on 2021-09-29 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Portfolio Optimization

Author : G. A. Vijayalakshmi Pai
Publisher : John Wiley & Sons
ISBN 13 : 111948278X
Total Pages : 322 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Metaheuristics for Portfolio Optimization by : G. A. Vijayalakshmi Pai

Download or read book Metaheuristics for Portfolio Optimization written by G. A. Vijayalakshmi Pai and published by John Wiley & Sons. This book was released on 2017-12-27 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB implementations, over live portfolios invested across global stock universes. The book has been structured in such a way that, even novices in finance or metaheuristics should be able to comprehend and work on the hybrid models discussed in the book.

Metaheuristic Optimization in Power Engineering

Author : Jordan Radosavljević
Publisher : IET
ISBN 13 : 1837241317
Total Pages : 324 pages
Book Rating : 4.8/5 (372 download)

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Book Synopsis Metaheuristic Optimization in Power Engineering by : Jordan Radosavljević

Download or read book Metaheuristic Optimization in Power Engineering written by Jordan Radosavljević and published by IET. This book was released on 2024-10-15 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.

Metaheuristics

Author : El-Ghazali Talbi
Publisher : John Wiley & Sons
ISBN 13 : 0470496908
Total Pages : 625 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Metaheuristics by : El-Ghazali Talbi

Download or read book Metaheuristics written by El-Ghazali Talbi and published by John Wiley & Sons. This book was released on 2009-05-27 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

Metaheuristic Algorithms in Industry 4.0

Author : Pritesh Shah
Publisher : CRC Press
ISBN 13 : 1000435946
Total Pages : 301 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Metaheuristic Algorithms in Industry 4.0 by : Pritesh Shah

Download or read book Metaheuristic Algorithms in Industry 4.0 written by Pritesh Shah and published by CRC Press. This book was released on 2021-09-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in Water, Geotechnical and Transport Engineering

Author : Xin-She Yang
Publisher : Newnes
ISBN 13 : 0123982960
Total Pages : 503 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Metaheuristics in Water, Geotechnical and Transport Engineering by : Xin-She Yang

Download or read book Metaheuristics in Water, Geotechnical and Transport Engineering written by Xin-She Yang and published by Newnes. This book was released on 2012-09 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation Develops new hybrid and advanced methods suitable for civil engineering problems at all levels Appropriate for researchers and advanced students to help to develop their work

Robust Control Optimization with Metaheuristics

Author : Philippe Feyel
Publisher : John Wiley & Sons
ISBN 13 : 1119340969
Total Pages : 454 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Robust Control Optimization with Metaheuristics by : Philippe Feyel

Download or read book Robust Control Optimization with Metaheuristics written by Philippe Feyel and published by John Wiley & Sons. This book was released on 2017-01-19 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the automotive industry, a Control Engineer must design a unique control law that is then tested and validated on a single prototype with a level of reliability high enough to to meet a number of complex specifications on various systems. In order to do this, the Engineer uses an experimental iterative process (Trial and Error phase) which relies heavily on his or her experience. This book looks to optimise the methods for synthesising servo controllers ny making them more direct and thus quicker to design. This is achieved by calculating a final controller to directly tackle the high-end system specs.

Robust Optimization

Author : Aharon Ben-Tal
Publisher : Princeton University Press
ISBN 13 : 1400831059
Total Pages : 565 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Robust Optimization by : Aharon Ben-Tal

Download or read book Robust Optimization written by Aharon Ben-Tal and published by Princeton University Press. This book was released on 2009-08-10 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.