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Recent advances on memetic algorithms and its applications in image processing, D Jude Hemanth



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Автор: D Jude Hemanth   (Д. Джуд Хемант)
Название:  Recent advances on memetic algorithms and its applications in image processing
Перевод названия: Д. Джуд Хемант: Последние достижения меметических алгоритмов
ISBN: 9789811513619
Издательство: Springer
Классификация:
ISBN-10: 9811513619
Обложка/Формат: Hardcover
Страницы: 199
Вес: 0.494 кг.
Дата издания: 02.01.2020
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 45 illustrations, color; 24 illustrations, black and white; xiv, 199 p. 69 illus., 45 illus. in color.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Дополнительное описание: An Evolutionary Computing Approach to Solve Object Identification Problem for fall detection in Computer Vision based Video Surveillance Applications.- Texture-dependent Optimal Fractional-order Framework for Image Quality Enhancement through Memetic Incl




Multi-Objective Memetic Algorithms

Автор: Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan (Eds.)
Название: Multi-Objective Memetic Algorithms
ISBN: 354088050X ISBN-13(EAN): 9783540880509
Издательство: Springer
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Цена: 32522 р.
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Описание: The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased over the years. This book presents a comprehensive collection of works that reflects the developments in the theory and practice of multi-objective Memetic algorithms.

Recent Advances in Memetic Algorithms

Автор: William E. Hart; Natalio Krasnogor; J.E. Smith
Название: Recent Advances in Memetic Algorithms
ISBN: 3642061761 ISBN-13(EAN): 9783642061769
Издательство: Springer
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Цена: 28956 р.
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Описание: Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems.

Handbook of Memetic Algorithms

Автор: Ferrante Neri; Carlos Cotta; Pablo Moscato
Название: Handbook of Memetic Algorithms
ISBN: 3642269427 ISBN-13(EAN): 9783642269424
Издательство: Springer
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Цена: 24979 р.
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Описание: Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples.

Handbook of Memetic Algorithms

Автор: Neri
Название: Handbook of Memetic Algorithms
ISBN: 3642232469 ISBN-13(EAN): 9783642232466
Издательство: Springer
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Цена: 30532 р.
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Описание: Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems.  The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes.   “Handbook of Memetic Algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now.  A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem,  memetic recipes for tackling the difficulties are given with some successful examples. Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and smooth work which covers all the main areas of computational intelligence optimization. It is not only a necessary read for researchers working in the research area, but also a useful handbook for practitioners and engineers who need to address real-world optimization problems. In addition, the book structure makes it an interesting work also for graduate students and researchers is related fields of mathematics and computer science.  

Multi-Objective Memetic Algorithms

Автор: Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan
Название: Multi-Objective Memetic Algorithms
ISBN: 3642099785 ISBN-13(EAN): 9783642099786
Издательство: Springer
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Цена: 32522 р.
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Описание: Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects the current state-of-the-art in the theory and practice of Memetic algorithms and is an invaluable reference.

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

Автор: Ale? Zamuda; Swagatam Das; Ponnuthurai Nagaratnam
Название: Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing
ISBN: 3030378373 ISBN-13(EAN): 9783030378370
Издательство: Springer
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Цена: 10097 р.
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Описание: 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

Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug
Название: Swarm, Evolutionary, and Memetic Computing
ISBN: 3319037528 ISBN-13(EAN): 9783319037523
Издательство: Springer
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Цена: 18561 р.
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Описание: 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. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Swarm, Evolutionary, and Memetic Computing

Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug
Название: Swarm, Evolutionary, and Memetic Computing
ISBN: 3319037552 ISBN-13(EAN): 9783319037554
Издательство: Springer
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Цена: 15591 р.
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Описание: 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. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Memetic Computation

Автор: Abhishek Gupta; Yew-Soon Ong
Название: Memetic Computation
ISBN: 3030027287 ISBN-13(EAN): 9783030027285
Издательство: Springer
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Цена: 17819 р.
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Описание:

This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the book serves to offer a data-driven view of optimization, through the framework of memetic computation (MC). The authors provide a summary of the complete timeline of research activities in MC – beginning with the initiation of memes as local search heuristics hybridized with evolutionary algorithms, to their modern interpretation as computationally encoded building blocks of problem-solving knowledge that can be learned from one task and adaptively transmitted to another. In the light of recent research advances, the authors emphasize the further development of MC as a simultaneous problem learning and optimization paradigm with the potential to showcase human-like problem-solving prowess; that is, by equipping optimization engines to acquire increasing levels of intelligence over time through embedded memes learned independently or via interactions. In other words, the adaptive utilization of available knowledge memes makes it possible for optimization engines to tailor custom search behaviors on the fly – thereby paving the way to general-purpose problem-solving ability (or artificial general intelligence). In this regard, the book explores some of the latest concepts from the optimization literature, including, the sequential transfer of knowledge across problems, multitasking, and large-scale (high dimensional) search, systematically discussing associated algorithmic developments that align with the general theme of memetics.
The presented ideas are intended to be accessible to a wide audience of scientific researchers, engineers, students, and optimization practitioners who are familiar with the commonly used terminologies of evolutionary computation. A full appreciation of the mathematical formalizations and algorithmic contributions requires an elementary background in probability, statistics, and the concepts of machine learning. A prior knowledge of surrogate-assisted/Bayesian optimization techniques is useful, but not essential.
Recent Advances in Algorithms and Combinatorics

Автор: Bruce A. Reed; Claudia L. Linhares-Sales
Название: Recent Advances in Algorithms and Combinatorics
ISBN: 1468492683 ISBN-13(EAN): 9781468492682
Издательство: Springer
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Цена: 13364 р.
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Описание: Excellent authors, such as Lovasz, one of the five best combinatorialists in the world; Thematic linking that makes it a coherent collection; Will appeal to a variety of communities, such as mathematics, computer science and operations research

Advances in Multi-Channel Resource Allocation: Throughput, Delay, and Complexity

Автор: Bo Ji, Xiaojun Lin, Ness B. Shroff
Название: Advances in Multi-Channel Resource Allocation: Throughput, Delay, and Complexity
ISBN: 1627054618 ISBN-13(EAN): 9781627054614
Издательство: Eurospan
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Цена: 8628 р.
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Описание: The recent results presented in this book demonstrate that, by cleverly taking advantage of multiple physical or virtual channels, one can develop new low-complexity algorithms that attain both provably high throughput and provably low delay. The book covers both the intra-cell and network-wide settings.

Computer algebra 2006: latest advances in symbolic algorithms - proceedings of the waterloo workshop

Название: Computer algebra 2006: latest advances in symbolic algorithms - proceedings of the waterloo workshop
ISBN: 9812702008 ISBN-13(EAN): 9789812702005
Издательство: World Scientific Publishing
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Цена: 14823 р.
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Описание: Written by world-renowned experts, the book is a collection of tutorial presentations and research papers catering to the latest advances in symbolic summation, factorization, symbolic-numeric linear algebra and linear functional equations. The papers were presented at a workshop celebrating the 6th birthday of Sergei Abramov (Russia), whose highly influential contributions to symbolic methods are adopted in many leading computer algebra systems.


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