Introduction to Genetic Algorithms, S.N. Sivanandam; S. N. Deepa

Автор: Ertel
Название: Introduction to Artificial Intelligence
ISBN: 0857292986 ISBN-13(EAN): 9780857292988
Издательство: Springer
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Цена: 32560.00 T
Наличие на складе: Невозможна поставка.
Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 184996128X ISBN-13(EAN): 9781849961288
Издательство: Springer
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Цена: 181670.00 T
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Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 144712569X ISBN-13(EAN): 9781447125693
Издательство: Springer
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Цена: 181670.00 T
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Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.

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
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Цена: 104480.00 T
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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.

Автор: Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban
Название: Multiobjective Genetic Algorithms for Clustering
ISBN: 3642439632 ISBN-13(EAN): 9783642439636
Издательство: Springer
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Цена: 51200.00 T
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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: Zbigniew Michalewicz
Название: Genetic Algorithms + Data Structures = Evolution Programs
ISBN: 3540606769 ISBN-13(EAN): 9783540606765
Издательство: Springer
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Цена: 102480.00 T
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Описание: Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control.

Автор: Viktor M. Kureichik; Sergey P. Malioukov; Vladimir
Название: Genetic Algorithms for Applied CAD Problems
ISBN: 3540852808 ISBN-13(EAN): 9783540852803
Издательство: Springer
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Цена: 139750.00 T
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Описание: With new perspective technologies of genetic search and evolution simulation at the heart of this book, the authors wanted to show how these technologies are used for the solution of practical problems. This monograph is devoted to specialists of CAD.

Автор: D.E. Goldberg; Franz Rothlauf
Название: Representations for Genetic and Evolutionary Algorithms
ISBN: 3642880967 ISBN-13(EAN): 9783642880964
Издательство: Springer
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Цена: 46570.00 T
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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
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Цена: 139750.00 T
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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: H.B. Mitchell
Название: Multi-Sensor Data Fusion: An Introduction
ISBN: 3642090672 ISBN-13(EAN): 9783642090677
Издательство: Springer
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Цена: 87060.00 T
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Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Автор: Jagdeep Kaur; Amit Kumar
Название: An Introduction to Fuzzy Linear Programming Problems
ISBN: 3319312731 ISBN-13(EAN): 9783319312736
Издательство: Springer
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Цена: 104480.00 T
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Описание: The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers.

Автор: Jair Minoro Abe; Seiki Akama; Kazumi Nakamatsu
Название: Introduction to Annotated Logics
ISBN: 331917911X ISBN-13(EAN): 9783319179117
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book is written as an introduction to annotated logics. It provides logical foundations for annotated logics, discusses some interesting applications of these logics and also includes the authors` contributions to annotated logics.