Swarm Evolutionary And Memetic Computing And Fuzzy And Neural Computing

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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing

Author : Aleš Zamuda
Publisher : Springer Nature
ISBN 13 : 3030378381
Total Pages : 224 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing by : Aleš Zamuda

Download or read book Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing written by Aleš Zamuda and published by Springer Nature. This book was released on 2020-01-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Swarm, Evolutionary, and Memetic Computing

Author : Bijaya Ketan Panigrahi
Publisher : Springer
ISBN 13 : 3319037560
Total Pages : 696 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Swarm, Evolutionary, and Memetic Computing by : Bijaya Ketan Panigrahi

Download or read book Swarm, Evolutionary, and Memetic Computing written by Bijaya Ketan Panigrahi and published by Springer. This book was released on 2013-12-12 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Swarm, Evolutionary, and Memetic Computing, Part II

Author : Bijata Ketan Panigraphi
Publisher : Springer Science & Business Media
ISBN 13 : 364227241X
Total Pages : 353 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Swarm, Evolutionary, and Memetic Computing, Part II by : Bijata Ketan Panigraphi

Download or read book Swarm, Evolutionary, and Memetic Computing, Part II written by Bijata Ketan Panigraphi and published by Springer Science & Business Media. This book was released on 2011-12-07 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

Self-Organizing Migrating Algorithm

Author : Donald Davendra
Publisher : Springer
ISBN 13 : 3319281615
Total Pages : 294 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Self-Organizing Migrating Algorithm by : Donald Davendra

Download or read book Self-Organizing Migrating Algorithm written by Donald Davendra and published by Springer. This book was released on 2016-02-04 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.

Medical Diagnosis Using Artificial Neural Networks

Author : Moein, Sara
Publisher : IGI Global
ISBN 13 : 146666147X
Total Pages : 326 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Medical Diagnosis Using Artificial Neural Networks by : Moein, Sara

Download or read book Medical Diagnosis Using Artificial Neural Networks written by Moein, Sara and published by IGI Global. This book was released on 2014-06-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.

Data Democracy

Author : Feras A. Batarseh
Publisher : Academic Press
ISBN 13 : 0128189398
Total Pages : 268 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Democracy by : Feras A. Batarseh

Download or read book Data Democracy written by Feras A. Batarseh and published by Academic Press. This book was released on 2020-01-21 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world's best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. - The future of the data republic, life within a data democracy, and our digital freedoms - An in-depth analysis of open science, open data, open source software, and their future challenges - A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology - The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction - A systematic review of AI methods applied to software engineering problems

Metaheuristic Computation: A Performance Perspective

Author : Erik Cuevas
Publisher : Springer Nature
ISBN 13 : 3030581004
Total Pages : 281 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Metaheuristic Computation: A Performance Perspective by : Erik Cuevas

Download or read book Metaheuristic Computation: A Performance Perspective written by Erik Cuevas and published by Springer Nature. This book was released on 2020-10-05 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance? Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Author : Oscar Castillo
Publisher : Springer
ISBN 13 : 331910960X
Total Pages : 193 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics by : Oscar Castillo

Download or read book Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics written by Oscar Castillo and published by Springer. This book was released on 2014-09-20 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics 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 two 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 augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Author : Shahnaz N. Shahbazova
Publisher : Springer Nature
ISBN 13 : 3030471241
Total Pages : 555 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Recent Developments and the New Direction in Soft-Computing Foundations and Applications by : Shahnaz N. Shahbazova

Download or read book Recent Developments and the New Direction in Soft-Computing Foundations and Applications written by Shahnaz N. Shahbazova and published by Springer Nature. This book was released on 2020-07-10 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a timely, broad snapshot of recent developments, including thought-provoking trends and challenges that are yielding new research directions in the diverse areas of Soft Computing.

Evolutionary Computation & Swarm Intelligence

Author : Fabio Caraffini
Publisher : MDPI
ISBN 13 : 3039434543
Total Pages : 286 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Evolutionary Computation & Swarm Intelligence by : Fabio Caraffini

Download or read book Evolutionary Computation & Swarm Intelligence written by Fabio Caraffini and published by MDPI. This book was released on 2020-11-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.

Data Management, Analytics and Innovation

Author : Neha Sharma
Publisher : Springer Nature
ISBN 13 : 9813299495
Total Pages : 727 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Data Management, Analytics and Innovation by : Neha Sharma

Download or read book Data Management, Analytics and Innovation written by Neha Sharma and published by Springer Nature. This book was released on 2019-10-24 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Advances in Neural Networks – ISNN 2016

Author : Long Cheng
Publisher : Springer
ISBN 13 : 3319406639
Total Pages : 751 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Neural Networks – ISNN 2016 by : Long Cheng

Download or read book Advances in Neural Networks – ISNN 2016 written by Long Cheng and published by Springer. This book was released on 2016-07-01 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das
Publisher : Springer Nature
ISBN 13 : 9811930899
Total Pages : 692 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2022-06-20 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2022), held at Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India, during 23 – 24 April 2022. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Author : Cengiz Kahraman
Publisher : Springer Nature
ISBN 13 : 3030856267
Total Pages : 954 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation written by Cengiz Kahraman and published by Springer Nature. This book was released on 2021-08-23 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

Technical Advancements of Machine Learning in Healthcare

Author : Hrudaya Kumar Tripathy
Publisher : Springer Nature
ISBN 13 : 9813346981
Total Pages : 393 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Technical Advancements of Machine Learning in Healthcare by : Hrudaya Kumar Tripathy

Download or read book Technical Advancements of Machine Learning in Healthcare written by Hrudaya Kumar Tripathy and published by Springer Nature. This book was released on 2021-02-27 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.

Computational Intelligence in Logistics and Supply Chain Management

Author : Thomas Hanne
Publisher : Springer
ISBN 13 : 3319407228
Total Pages : 190 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Computational Intelligence in Logistics and Supply Chain Management by : Thomas Hanne

Download or read book Computational Intelligence in Logistics and Supply Chain Management written by Thomas Hanne and published by Springer. This book was released on 2016-07-27 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

Cultural Algorithms

Author : Shahin Jalili
Publisher : Springer Nature
ISBN 13 : 9811946337
Total Pages : 277 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Cultural Algorithms by : Shahin Jalili

Download or read book Cultural Algorithms written by Shahin Jalili and published by Springer Nature. This book was released on 2022-11-24 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.