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A Practical Approach to Metaheuristics using LabVIEW and MATLAB®

A Practical Approach to Metaheuristics using LabVIEW and MATLAB®
Author: Pedro Ponce-Cruz
Publisher: CRC Press
Total Pages: 336
Release: 2020-06-08
Genre: Computers
ISBN: 1000073475

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Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB® and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.


Metaheuristics in Machine Learning: Theory and Applications

Metaheuristics in Machine Learning: Theory and Applications
Author: Diego Oliva
Publisher: Springer Nature
Total Pages: 765
Release:
Genre: Computational intelligence
ISBN: 3030705420

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This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.


Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)

Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
Author: Nebojsa Bacanin
Publisher: Springer Nature
Total Pages: 333
Release: 2023-02-10
Genre: Computers
ISBN: 9464631104

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This is an open access book.The First International Conference on Innovation in information technology and business (ICIITB) will be taking place in Muscat, Oman, on November 9th and 10th, 2022. The Conference will be carried out in a hybrid format, allowing world-scattered academicians, researchers, and industry professionals to participate in this unique Conference for Oman and the GCC region. The participants of the Conference will get an opportunity to contribute to the contemporary implementation of cutting-edge research and development in the area of artificial intelligence, data science, machine learning, and the IoT in the business environment. The participants will get a first-of-a-kind networking and knowledge sharing opportunity to be a part of an event in Oman, that will gather recognized researchers from the GCC, Europe, the USA, and other parts of the World. Select research papers will also be published in a Springer-published Conference proceedings.


Advanced Technologies for Solar Photovoltaics Energy Systems

Advanced Technologies for Solar Photovoltaics Energy Systems
Author: Saad Motahhir
Publisher: Springer Nature
Total Pages: 600
Release: 2021-04-26
Genre: Technology & Engineering
ISBN: 3030645657

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This book presents a detailed description, analysis, comparison of the latest research and developments in photovoltaic energy. Discussing everything from semiconductors to system integration, and applying various advanced technologies to stand alone and electric utility interfaced in normal and abnormal operating conditions of PV systems, this book provides a thorough introduction to the topic. This book brings together research from around the world, covering the use of technologies such as embedded systems, the Internet of things and blockchain technologies for PV systems for different applications including controllers, solar trackers and cooling systems. The book is of interest to electronic and mechanical engineers, researchers and students in the field of photovoltaics.


Metaheuristics: Outlines, MATLAB Codes and Examples

Metaheuristics: Outlines, MATLAB Codes and Examples
Author: Ali Kaveh
Publisher: Springer
Total Pages: 190
Release: 2019-04-08
Genre: Mathematics
ISBN: 9783030040666

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The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.


Intelligent Control Systems with LabVIEWTM

Intelligent Control Systems with LabVIEWTM
Author: Pedro Ponce-Cruz
Publisher: Springer Science & Business Media
Total Pages: 228
Release: 2009-10-23
Genre: Technology & Engineering
ISBN: 1848826842

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Intelligent Control with LabVIEWTM is a fresh and pragmatic approach to the understanding of a subject often clouded by too much mathematical theory. It exploits the full suite of tools provided by LabVIEWTM, showing the student how to design, develop, analyze, and visualize intelligent control algorithms quickly and simply. Block diagrams are used to follow the progress of an algorithm through the design process and allow seamless integration with hardware systems for rapid deployment in laboratory experiments. This text delivers a thorough grounding in the main tools of intelligent control: fuzzy logic systems; artificial neural networks; neuro-fuzzy systems; evolutionary methods; and predictive methods. Learning and teaching are facilitated by: extensive use of worked examples; end of chapter problems with separate solutions; and provision of intelligent control tools for LabVIEWTM.


Nature-Inspired Optimizers

Nature-Inspired Optimizers
Author: Seyedali Mirjalili
Publisher: Springer
Total Pages: 245
Release: 2019-02-01
Genre: Technology & Engineering
ISBN: 3030121275

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This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.


Robot Motion Planning

Robot Motion Planning
Author: Jean-Claude Latombe
Publisher: Springer Science & Business Media
Total Pages: 668
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461540224

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One of the ultimate goals in Robotics is to create autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants done rather than how to do it. The robots will be any kind of versatile mechanical device equipped with actuators and sensors under the control of a computing system. Making progress toward autonomous robots is of major practical inter est in a wide variety of application domains including manufacturing, construction, waste management, space exploration, undersea work, as sistance for the disabled, and medical surgery. It is also of great technical interest, especially for Computer Science, because it raises challenging and rich computational issues from which new concepts of broad useful ness are likely to emerge. Developing the technologies necessary for autonomous robots is a formidable undertaking with deep interweaved ramifications in auto mated reasoning, perception and control. It raises many important prob lems. One of them - motion planning - is the central theme of this book. It can be loosely stated as follows: How can a robot decide what motions to perform in order to achieve goal arrangements of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its x Preface own motions.


Innovation in Information Systems and Technologies to Support Learning Research

Innovation in Information Systems and Technologies to Support Learning Research
Author: Mohammed Serrhini
Publisher: Springer Nature
Total Pages: 659
Release: 2019-11-30
Genre: Technology & Engineering
ISBN: 3030367789

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This book provides glimpses into contemporary research in information systems & technology, learning, artificial intelligence (AI), machine learning, and security and how it applies to the real world, but the ideas presented also span the domains of telehealth, computer vision, the role and use of mobile devices, brain–computer interfaces, virtual reality, language and image processing and big data analytics and applications. Great research arises from asking pertinent research questions. This book reveals some of the authors’ “beautiful questions” and how they develop the subsequent “what if” and “how” questions, offering readers food for thought and whetting their appetite for further research by the same authors.


Innovations in Bio-Inspired Computing and Applications

Innovations in Bio-Inspired Computing and Applications
Author: Ajith Abraham
Publisher: Springer Nature
Total Pages: 573
Release: 2021-04-09
Genre: Technology & Engineering
ISBN: 3030736032

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This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 51 high-quality papers from the 11th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2020) and 10th World Congress on Information and Communication Technologies (WICT 2020), which was held online during December 16–18, 2019. As a premier conference, IBICA–WICT brings together researchers, engineers and practitioners whose work involves bio-inspired computing, computational intelligence and their applications in information security, real-world contexts, etc. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.