Spatially Structured Evolutionary Algorithms

Download Spatially Structured Evolutionary Algorithms PDF Online Free

Author :
Release : 2005-09-27
Genre : Computers
Kind :
Book Rating : 930/5 ( reviews)

Spatially Structured Evolutionary Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Spatially Structured Evolutionary Algorithms write by Marco Tomassini. This book was released on 2005-09-27. Spatially Structured Evolutionary Algorithms available 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.

Spatially Structured Evolutionary Algorithms

Download Spatially Structured Evolutionary Algorithms PDF Online Free

Author :
Release : 2005-12-19
Genre : Computers
Kind :
Book Rating : 386/5 ( reviews)

Spatially Structured Evolutionary Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Spatially Structured Evolutionary Algorithms write by Marco Tomassini. This book was released on 2005-12-19. Spatially Structured Evolutionary Algorithms available 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.

Spatial Evolutionary Modeling

Download Spatial Evolutionary Modeling PDF Online Free

Author :
Release : 2001-08-02
Genre : Science
Kind :
Book Rating : 017/5 ( reviews)

Spatial Evolutionary Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Spatial Evolutionary Modeling write by Roman M. Krzanowski. This book was released on 2001-08-02. Spatial Evolutionary Modeling available 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.

Spatially-structured Niching Methods for Evolutionary Algorithms

Download Spatially-structured Niching Methods for Evolutionary Algorithms PDF Online Free

Author :
Release : 2008
Genre : Electronic data processing
Kind :
Book Rating : /5 ( reviews)

Spatially-structured Niching Methods for Evolutionary Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Spatially-structured Niching Methods for Evolutionary Algorithms write by Grant Cameron Dick. This book was released on 2008. Spatially-structured Niching Methods for Evolutionary Algorithms available in PDF, EPUB and Kindle.

Evolutionary Algorithms in Engineering Applications

Download Evolutionary Algorithms in Engineering Applications PDF Online Free

Author :
Release : 2013-06-29
Genre : Computers
Kind :
Book Rating : 239/5 ( reviews)

Evolutionary Algorithms in Engineering Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Algorithms in Engineering Applications write by Dipankar Dasgupta. This book was released on 2013-06-29. Evolutionary Algorithms in Engineering Applications available 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.