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Robust Control Systems with Genetic Algorithms (Control Series)
Robust Control Systems with Genetic Algorithms (Control Series)

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.

Robust
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Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Algebraic Foundations in Computer Science: Essays Dedicated to Symeon Bozapalidis on the Occasion of His Retirement (Lecture Notes in Computer Science)
Algebraic Foundations in Computer Science: Essays Dedicated to Symeon Bozapalidis on the Occasion of His Retirement (Lecture Notes in Computer Science)
This collection of 15 papers honors the career of Symeon Bozapalidis. The focus is on his teaching subjects: algebra, linear algebra, mathematical logic, number theory, automata theory, tree languages and series, algebraic semantics, and fuzzy languages....
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...
Sparsity: Graphs, Structures, and Algorithms (Algorithms and Combinatorics)
Sparsity: Graphs, Structures, and Algorithms (Algorithms and Combinatorics)
This book offers a systematic study of sparse graphs and sparse finite structures. Although the notion of sparsity appears in various contexts and is typical of a fuzzy notion, the authors present a unifying classification of general classes of structures....
Assessing and Improving Prediction and Classification: Theory and Algorithms in C++
Assessing and Improving Prediction and Classification: Theory and Algorithms in C++
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting.  This book presents many important techniques for building...
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and...
Decision and Control in Hybrid Wind Farms (Studies in Systems, Decision and Control)
Decision and Control in Hybrid Wind Farms (Studies in Systems, Decision and Control)

This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal...

Computational Network Application Tools for Performance Management (Asset Analytics)
Computational Network Application Tools for Performance Management (Asset Analytics)

This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal...

Transactions on Computational Collective Intelligence XXXII (Lecture Notes in Computer Science (11370))
Transactions on Computational Collective Intelligence XXXII (Lecture Notes in Computer Science (11370))
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence...
Modelling and Simulation in Science, Technology and Engineering Mathematics: Proceedings of the International Conference on Modelling and Simulation ... in Intelligent Systems and Computing (749))
Modelling and Simulation in Science, Technology and Engineering Mathematics: Proceedings of the International Conference on Modelling and Simulation ... in Intelligent Systems and Computing (749))
This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution...
Modeling, Identification and Control Methods in Renewable Energy Systems (Green Energy and Technology)
Modeling, Identification and Control Methods in Renewable Energy Systems (Green Energy and Technology)
Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”....
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