Genetic Algorithms: Principles and Perspectives, Colin R. Reeves; Jonathan E. Rowe

Автор: Mutingi
Название: Grouping Genetic Algorithms
ISBN: 3319443933 ISBN-13(EAN): 9783319443935
Издательство: Springer
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Цена: 19564.00 р.
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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
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Цена: 15672.00 р.
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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: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
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Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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Описание:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.

Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

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: 7680.00 р.
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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: 15372.00 р.
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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: Enrique Alba; Bernabe Dorronsoro
Название: Cellular Genetic Algorithms
ISBN: 1441945946 ISBN-13(EAN): 9781441945945
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel emphasis on both theory and practice.

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: 6986.00 р.
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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: S.N. Sivanandam; S. N. Deepa
Название: Introduction to Genetic Algorithms
ISBN: 3642092241 ISBN-13(EAN): 9783642092244
Издательство: Springer
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Цена: 16977.00 р.
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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.

Автор: Tapan P. Bagchi
Название: Multiobjective Scheduling by Genetic Algorithms
ISBN: 1461373875 ISBN-13(EAN): 9781461373872
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops.

Автор: Masatoshi Sakawa
Название: Genetic Algorithms and Fuzzy Multiobjective Optimization
ISBN: 146135594X ISBN-13(EAN): 9781461355946
Издательство: Springer
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Цена: 20962.00 р.
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