Spatially Structured Evolutionary Algorithms PDF Download
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Author | : Marco Tomassini |
Publisher | : Springer Science & Business Media |
Total Pages | : 200 |
Release | : 2005-09-27 |
Genre | : Computers |
ISBN | : 3540241930 |
Download Spatially Structured Evolutionary Algorithms Book in PDF, ePub and Kindle
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks. The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.
Author | : Marco Tomassini |
Publisher | : Springer Science & Business Media |
Total Pages | : 200 |
Release | : 2005-12-19 |
Genre | : Computers |
ISBN | : 3540299386 |
Download Spatially Structured Evolutionary Algorithms Book in PDF, ePub and Kindle
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks. The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.
Author | : Roman M. Krzanowski |
Publisher | : Oxford University Press |
Total Pages | : 265 |
Release | : 2001-08-02 |
Genre | : Science |
ISBN | : 0198031017 |
Download Spatial Evolutionary Modeling Book in PDF, ePub and Kindle
Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.
Author | : Grant Cameron Dick |
Publisher | : |
Total Pages | : 346 |
Release | : 2008 |
Genre | : Electronic data processing |
ISBN | : |
Download Spatially-structured Niching Methods for Evolutionary Algorithms Book in PDF, ePub and Kindle
Author | : Dipankar Dasgupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 561 |
Release | : 2013-06-29 |
Genre | : Computers |
ISBN | : 3662034239 |
Download Evolutionary Algorithms in Engineering Applications Book in PDF, ePub and Kindle
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.
Author | : Daniel Ashlock |
Publisher | : Springer Science & Business Media |
Total Pages | : 578 |
Release | : 2006-04-04 |
Genre | : Computers |
ISBN | : 0387319093 |
Download Evolutionary Computation for Modeling and Optimization Book in PDF, ePub and Kindle
Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.
Author | : Mirjana Ivanović |
Publisher | : Springer |
Total Pages | : 319 |
Release | : 2017-10-03 |
Genre | : Technology & Engineering |
ISBN | : 3319663798 |
Download Intelligent Distributed Computing XI Book in PDF, ePub and Kindle
This book presents a collection of contributions addressing recent advances and research in synergistic combinations of topics in the joint fields of intelligent computing and distributed computing. It focuses on the following specific topics: distributed data mining and machine learning, reasoning and decision-making in distributed environments, distributed evolutionary algorithms, trust and reputation models for distributed systems, scheduling and resource allocation in distributed systems, intelligent multi-agent systems, advanced agent-based and service-based architectures, and Smart Cloud and Internet of Things (IoT) environments. The book represents the combined peer-reviewed proceedings of the 11th International Symposium on Intelligent Distributed Computing (IDC 2017) and the 7th International Workshop on Applications of Software Agents (WASA 2017), both of which were held in Belgrade, Serbia from October 11 to 13, 2017.
Author | : Jing Liu |
Publisher | : Springer |
Total Pages | : 148 |
Release | : 2018-09-22 |
Genre | : Technology & Engineering |
ISBN | : 3319600001 |
Download Evolutionary Computation and Complex Networks Book in PDF, ePub and Kindle
This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.
Author | : Xinjie Yu |
Publisher | : Springer Science & Business Media |
Total Pages | : 427 |
Release | : 2010-06-10 |
Genre | : Computers |
ISBN | : 1849961298 |
Download Introduction to Evolutionary Algorithms Book in PDF, ePub and Kindle
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
Author | : Carlos Coello Coello |
Publisher | : Springer Science & Business Media |
Total Pages | : 810 |
Release | : 2007-08-26 |
Genre | : Computers |
ISBN | : 0387367977 |
Download Evolutionary Algorithms for Solving Multi-Objective Problems Book in PDF, ePub and Kindle
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.