Genetic Algorithms + Data Structures = Evolution Programs, Zbigniew Michalewicz
Автор: Klaus Lucas; Peter Roosen Название: Emergence, Analysis and Evolution of Structures ISBN: 3642008690 ISBN-13(EAN): 9783642008696 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The study of structures and structure generating processes is a common concern of all scientific and technical disciplines. This volume presents an interdisciplinary investigation of the different methods of analysis and modelling which, while differing considerably in detail, usually have computer based evolutionary schemes at their core.
Автор: Klaus Lucas; Peter Roosen Название: Emergence, Analysis and Evolution of Structures ISBN: 3642261000 ISBN-13(EAN): 9783642261008 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text on the different methods of analysis and modeling is broken into three parts: a summary of the transdisciplinary fundamentals; a discussion detailing case studies from various fields; and a shorter outlook on the transdisciplinary perspective.
Автор: S.N. Sivanandam; S. N. Deepa Название: Introduction to Genetic Algorithms ISBN: 3642092241 ISBN-13(EAN): 9783642092244 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems.
Описание: This book presents machine learning models and algorithms to address big data classification problems. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The third part presents the topics required to understand and select machine learning techniques to classify big data.
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3662522918 ISBN-13(EAN): 9783662522912 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Автор: Alexander Mehler; Kai-Uwe K?hnberger; Henning Lobi Название: Modeling, Learning, and Processing of Text-Technological Data Structures ISBN: 3642269443 ISBN-13(EAN): 9783642269448 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication.
Автор: D.E. Goldberg; Franz Rothlauf Название: Representations for Genetic and Evolutionary Algorithms ISBN: 3642880967 ISBN-13(EAN): 9783642880964 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given.
Автор: Colin R. Reeves; Jonathan E. Rowe Название: Genetic Algorithms: Principles and Perspectives ISBN: 147577818X ISBN-13(EAN): 9781475778182 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops.
Автор: Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban Название: Multiobjective Genetic Algorithms for Clustering ISBN: 3642439632 ISBN-13(EAN): 9783642439636 Издательство: Springer Рейтинг: Цена: 7680.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers clustering using multiobjective genetic algorithms, with extensive real-life application in data mining and bioinformatics. The authors offer instructions for relevant techniques, and demonstrate real-world applications in several disciplines.
Автор: Nathalie Japkowicz; Jerzy Stefanowski Название: Big Data Analysis: New Algorithms for a New Society ISBN: 3319269879 ISBN-13(EAN): 9783319269870 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.
Автор: Mutingi Название: Grouping Genetic Algorithms ISBN: 3319443933 ISBN-13(EAN): 9783319443935 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms.Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
Автор: Muhammet ?nal; Ay?a Ak; Vedat Topuz; Hasan Erdal Название: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms ISBN: 3642434770 ISBN-13(EAN): 9783642434778 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory behind artificial neural networks, genetic algorithms and the ant colony optimization algorithm, and presents a novel real time control algorithm using genetic and ant colony optimization algorithms for optimizing PID controllers.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
