Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Memetic Computing ISBN: 3319202936 ISBN-13(EAN): 9783319202938 Издательство: Springer Рейтинг: Цена: 13416.00 р. 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: Vito Trianni Название: Evolutionary Swarm Robotics ISBN: 3642096352 ISBN-13(EAN): 9783642096358 Издательство: Springer Рейтинг: Цена: 19589.00 р. 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: Satchidananda Dehuri; Alok Kumar Jagadev; Mrutyunj Название: Multi-objective Swarm Intelligence ISBN: 3662523655 ISBN-13(EAN): 9783662523650 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis.
Автор: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Memetic Computing ISBN: 3319037528 ISBN-13(EAN): 9783319037523 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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: William E. Hart; Natalio Krasnogor; J.E. Smith Название: Recent Advances in Memetic Algorithms ISBN: 3642061761 ISBN-13(EAN): 9783642061769 Издательство: Springer Рейтинг: Цена: 27251.00 р. 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: Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan Название: Multi-Objective Memetic Algorithms ISBN: 3642099785 ISBN-13(EAN): 9783642099786 Издательство: Springer Рейтинг: Цена: 30606.00 р. 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: Ferrante Neri; Carlos Cotta; Pablo Moscato Название: Handbook of Memetic Algorithms ISBN: 3642269427 ISBN-13(EAN): 9783642269424 Издательство: Springer Рейтинг: Цена: 23508.00 р. 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: Bijaya Ketan Panigrahi; Ponnuthurai Nagaratnam Sug Название: Swarm, Evolutionary, and Mimetic Computing ISBN: 3319489585 ISBN-13(EAN): 9783319489582 Издательство: Springer Рейтинг: Цена: 8106.00 р. 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.
Swarm Intelligence and Evolutionary Computation: Overview and Analysis.- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce.- Hybrid Metaheuristic Algorithms: Past, Present and Future.- Binary Flower Pollination Algorithm and Its Application to Feature Selection.- Bat Algorithm Application for the Single Row Facility Layout Problem.- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem.- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks.- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification.- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm.- Sustainable Building Design: A Review on Recent Metaheuristic Methods.- Firefly Algorithm for Flow Shop Optimization.- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks.- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm.- Analysis of Trusses Using Particle Swarm Optimization.
Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation
Автор: Ivan Zelinka; Guanrong Chen Название: Evolutionary Algorithms, Swarm Dynamics and Complex Networks ISBN: 3662556618 ISBN-13(EAN): 9783662556610 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks.
Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.
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