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Frontier Applications of Nature Inspired Computation

2020-03-11 Technology & Engineering
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Release : 2020-03-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 336/5 ( reviews)

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Book Synopsis Frontier Applications of Nature Inspired Computation by : Mahdi Khosravy

Download or read book Frontier Applications of Nature Inspired Computation written by Mahdi Khosravy. This book was released on 2020-03-11. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.

Frontiers in Nature-Inspired Industrial Optimization

2021-08-06 Technology & Engineering
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Release : 2021-08-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 28X/5 ( reviews)

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Book Synopsis Frontiers in Nature-Inspired Industrial Optimization by : Mahdi Khosravy

Download or read book Frontiers in Nature-Inspired Industrial Optimization written by Mahdi Khosravy. This book was released on 2021-08-06. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field.

Nature-Inspired Computing for Smart Application Design

2021-03-17 Technology & Engineering
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Release : 2021-03-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 956/5 ( reviews)

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Book Synopsis Nature-Inspired Computing for Smart Application Design by : Santosh Kumar Das

Download or read book Nature-Inspired Computing for Smart Application Design written by Santosh Kumar Das. This book was released on 2021-03-17. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Compressive Sensing in Healthcare

2020-05-18 Technology & Engineering
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Release : 2020-05-18
Genre : Technology & Engineering
Kind : eBook
Book Rating : 489/5 ( reviews)

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Book Synopsis Compressive Sensing in Healthcare by : Mahdi Khosravy

Download or read book Compressive Sensing in Healthcare written by Mahdi Khosravy. This book was released on 2020-05-18. Available in PDF, EPUB and Kindle. Book excerpt: Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored. Provides a toolbox for compressive sensing in health, presenting both mathematical and coding information Presents an intuitive introduction to compressive sensing, including MATLAB tutorials Covers applications of compressive sensing in health care

Metaheuristic and Machine Learning Optimization Strategies for Complex Systems

2024-07-17 Computers
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Release : 2024-07-17
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Metaheuristic and Machine Learning Optimization Strategies for Complex Systems by : R., Thanigaivelan

Download or read book Metaheuristic and Machine Learning Optimization Strategies for Complex Systems written by R., Thanigaivelan. This book was released on 2024-07-17. Available in PDF, EPUB and Kindle. Book excerpt: In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.

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