Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, Ale? Zamuda; Swagatam Das; Ponnuthurai Nagaratnam
Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Memetic Computing ISBN: 3319202936 ISBN-13(EAN): 9783319202938 Издательство: Springer Рейтинг: Цена: 89440.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Differential Evolution with Two Subpopulations.- Intelligent Water Drops Algorithm for Multimodal Spaces.- Glowworm Swarm based Informative attribute.- Simultaneous Feature Selection and Classification.- TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates.- Evaluating Internet Information Search Channels using Hybrid MCDM technique.- Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion.- Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier.- Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization.- Fraud Detection in Financial Statements using Evolutionary Computation based Rule Miners.- A Fuzzy Entropy based Multi-level Image Thresholding using Differential Evolution.
Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Memetic Computing ISBN: 3319037528 ISBN-13(EAN): 9783319037523 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Memetic Computing ISBN: 3319037552 ISBN-13(EAN): 9783319037554 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: D Jude Hemanth Название: Recent advances on memetic algorithms and its applications in image processing ISBN: 9811513619 ISBN-13(EAN): 9789811513619 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes original research findings in the field of memetic algorithms for image processing applications.
Автор: Ferrante Neri; Carlos Cotta; Pablo Moscato Название: Handbook of Memetic Algorithms ISBN: 3642269427 ISBN-13(EAN): 9783642269424 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan Название: Multi-Objective Memetic Algorithms ISBN: 3642099785 ISBN-13(EAN): 9783642099786 Издательство: Springer Рейтинг: Цена: 204040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Abhishek Gupta; Yew-Soon Ong Название: Memetic Computation ISBN: 3030027287 ISBN-13(EAN): 9783030027285 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: William E. Hart; Natalio Krasnogor; J.E. Smith Название: Recent Advances in Memetic Algorithms ISBN: 3642061761 ISBN-13(EAN): 9783642061769 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems.
Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Mimetic Computing ISBN: 3319489585 ISBN-13(EAN): 9783319489582 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015.
The 23 full papers presented in this volume were carefully reviewed and selected from 40 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.
Автор: Vito Trianni Название: Evolutionary Swarm Robotics ISBN: 3642096352 ISBN-13(EAN): 9783642096358 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced.
Автор: Xin-She Yang Название: Recent Advances in Swarm Intelligence and Evolutionary Computation ISBN: 3319138251 ISBN-13(EAN): 9783319138251 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation
Название: Swarm intelligence and evolutionary algorithms in healthcare and drug development ISBN: 0367257572 ISBN-13(EAN): 9780367257576 Издательство: Taylor&Francis Рейтинг: Цена: 80630.00 T Наличие на складе: Нет в наличии. Описание: The book is intended towards graduates and postgraduates information technology and computer science. It will be beneficial for healthcare professionals in the area of biotechnology, general medicine and pharmacy.
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