Fuzzy Sets Based Heuristics for Optimization

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Publisher : Springer
ISBN 13 : 3540364617
Total Pages : 357 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis Fuzzy Sets Based Heuristics for Optimization by : José-Luis Verdegay

Download or read book Fuzzy Sets Based Heuristics for Optimization written by José-Luis Verdegay and published by Springer. This book was released on 2012-11-03 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.

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

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Publisher : Springer Nature
ISBN 13 : 3030687767
Total Pages : 383 pages
Book Rating : 4.62/5 ( download)

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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 and published by Springer Nature. This book was released on 2021-03-24 with total page 383 pages. 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.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

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Publisher : Springer
ISBN 13 : 3319177478
Total Pages : 612 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization by : Patricia Melin

Download or read book Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization written by Patricia Melin and published by Springer. This book was released on 2015-06-12 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Fuzzy Greedy Search in Combinatorial Optimisation

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Publisher : Tadbir Institute for Operational Research, Systems Design, and Financial Services
ISBN 13 : 9640411183
Total Pages : 118 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Fuzzy Greedy Search in Combinatorial Optimisation by : Kaveh Sheibani

Download or read book Fuzzy Greedy Search in Combinatorial Optimisation written by Kaveh Sheibani and published by Tadbir Institute for Operational Research, Systems Design, and Financial Services. This book was released on 2008-01-01 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a growth of interest in the development of systematic search methods for solving problems in operational research and artificial intelligence. This monograph introduces a new idea for the integration of approaches for hard combinatorial optimisation problems. The proposed methodology evaluates objects in a way that combines fuzzy reasoning with a greedy mechanism. In other words, a fuzzy solution space is exploited using greedy methods. This seems to be superior to the standard greedy version. The monograph consists of two main parts. The first part focuses on description of the theory and mathematics of the so-called fuzzy greedy evaluation concept. The second part demonstrates through computational experiments, the effectiveness and efficiency of the proposed concept within search, optimisation and learning systems for hard combinatorial optimisation problems.

Fuzzy Applications in Industrial Engineering

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Publisher : Springer
ISBN 13 : 354033517X
Total Pages : 609 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Fuzzy Applications in Industrial Engineering by : Cengiz Kahraman

Download or read book Fuzzy Applications in Industrial Engineering written by Cengiz Kahraman and published by Springer. This book was released on 2007-05-31 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

Handbook of AI-based Metaheuristics

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Publisher : CRC Press
ISBN 13 : 1000434257
Total Pages : 584 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Handbook of AI-based Metaheuristics by : Anand J. Kulkarni

Download or read book Handbook of AI-based Metaheuristics written by Anand J. Kulkarni and published by CRC Press. This book was released on 2021-09-01 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Encyclopedia of Networked and Virtual Organizations

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Publisher : IGI Global
ISBN 13 : 1599048868
Total Pages : 2048 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Encyclopedia of Networked and Virtual Organizations by : Putnik, Goran D.

Download or read book Encyclopedia of Networked and Virtual Organizations written by Putnik, Goran D. and published by IGI Global. This book was released on 2008-03-31 with total page 2048 pages. Available in PDF, EPUB and Kindle. Book excerpt: [Administration (référence électronique] ; informatique].

Fuzzy Logic in Intelligent System Design

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Publisher : Springer
ISBN 13 : 3319671375
Total Pages : 422 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Fuzzy Logic in Intelligent System Design by : Patricia Melin

Download or read book Fuzzy Logic in Intelligent System Design written by Patricia Melin and published by Springer. This book was released on 2017-09-30 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

Optimizing, Innovating, and Capitalizing on Information Systems for Operations

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Publisher : IGI Global
ISBN 13 : 1466629266
Total Pages : 462 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Optimizing, Innovating, and Capitalizing on Information Systems for Operations by : Wang, John

Download or read book Optimizing, Innovating, and Capitalizing on Information Systems for Operations written by Wang, John and published by IGI Global. This book was released on 2013-02-28 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adapting the development of information systems for operations management is essential for the effectiveness of an organization’s business strategy. Optimizing, Innovating, and Capitalizing on Information Systems for Operations presents research on the applications of information systems and its influence on business and operations management. Highlighting case studies, frameworks and methodologies, this book aims to be useful for practitioners and academics in the fields of decision, management, and social sciences.

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

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Publisher : Springer Nature
ISBN 13 : 3031556844
Total Pages : 422 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics by : Oscar Castillo

Download or read book New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics written by Oscar Castillo and published by Springer Nature. This book was released on with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: