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Benchmarks and Hybrid Algorithms in Optimization and Applications

2023-09-22 Technology & Engineering
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Release : 2023-09-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 704/5 ( reviews)

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Book Synopsis Benchmarks and Hybrid Algorithms in Optimization and Applications by : Xin-She Yang

Download or read book Benchmarks and Hybrid Algorithms in Optimization and Applications written by Xin-She Yang. This book was released on 2023-09-22. Available in PDF, EPUB and Kindle. Book excerpt: This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

2021-03-24 Technology & Engineering
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Release : 2021-03-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 767/5 ( reviews)

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Book Synopsis Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications by : Oscar Castillo

Download or read book Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications written by Oscar Castillo. This book was released on 2021-03-24. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

Optimization Algorithms

2016-09-21 Mathematics
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Release : 2016-09-21
Genre : Mathematics
Kind : eBook
Book Rating : 923/5 ( reviews)

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Book Synopsis Optimization Algorithms by : Ozgur Baskan

Download or read book Optimization Algorithms written by Ozgur Baskan. This book was released on 2016-09-21. Available in PDF, EPUB and Kindle. Book excerpt: This book covers state-of-the-art optimization methods and their applications in wide range especially for researchers and practitioners who wish to improve their knowledge in this field. It consists of 13 chapters divided into two parts: (I) Engineering applications, which presents some new applications of different methods, and (II) Applications in various areas, where recent contributions of state-of-the-art optimization methods to diverse fields are presented.

Extremal Optimization

2018-09-03 Computers
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Release : 2018-09-03
Genre : Computers
Kind : eBook
Book Rating : 341/5 ( reviews)

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Book Synopsis Extremal Optimization by : Yong-Zai Lu

Download or read book Extremal Optimization written by Yong-Zai Lu. This book was released on 2018-09-03. Available in PDF, EPUB and Kindle. Book excerpt: Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as "NP-hard" and the "phase transitions" occurring on the search landscape. Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO with a focus on self-organized optimization, evolutionary probability distribution, and structure features (e.g., backbones), which are based on the authors’ recent research results. Finally, it discusses applications of EO and MEO in multiobjective optimization, systems modeling, intelligent control, and production scheduling. The authors present the advanced features of EO in solving NP-hard problems through problem formulation, algorithms, and simulation studies on popular benchmarks and industrial applications. They also focus on the development of MEO and its applications. This book can be used as a reference for graduate students, research developers, and practical engineers who work on developing optimization solutions for those complex systems with hardness that cannot be solved with mathematical optimization or other computational intelligence, such as evolutionary computations.

Optimization Techniques for Solving Complex Problems

2009-02-17 Computers
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Release : 2009-02-17
Genre : Computers
Kind : eBook
Book Rating : 346/5 ( reviews)

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Book Synopsis Optimization Techniques for Solving Complex Problems by : Enrique Alba

Download or read book Optimization Techniques for Solving Complex Problems written by Enrique Alba. This book was released on 2009-02-17. Available in PDF, EPUB and Kindle. Book excerpt: Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

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