Bayesian Evolutionary Algorithms

Bayesian Evolutionary Analysis with BEAST  eBooks & eLearning

Posted by AlenMiler at Dec. 29, 2015
Bayesian Evolutionary Analysis with BEAST

Bayesian Evolutionary Analysis with BEAST by Alexei J. Drummond
English | Oct. 8, 2015 | ISBN: 1107019656 | 260 Pages | AZW3/PDF (conv) | 8.33 MB

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods?

"Advances in Evolutionary Algorithms" ed. by Witold Kosinski  eBooks & eLearning

Posted by exLib at Jan. 17, 2015
"Advances in Evolutionary Algorithms" ed. by Witold Kosinski

"Advances in Evolutionary Algorithms" ed. by Witold Kosinski
InTeOpP | 2008 | ISBN: 9537619117 9789537619114 | 4786 pages | PDF | 47 MB

Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge Evolutionary Algorithms field.

Evolutionary Algorithms for Solving Multi-Objective Problems(Repost)  eBooks & eLearning

Posted by srinivasgoud at July 4, 2010
 Evolutionary Algorithms for Solving Multi-Objective Problems(Repost)

"Evolutionary Algorithms for Solving Multi-Objective Problems" (Genetic and Evolutionary Computation)
by Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen

Publisher: Springer | Publication Date:2007-09-18 | ISBN:0387332545 | 800 Pages | PDF | 9 MB

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems.
Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms

Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms
Springer | ISBN: 3540237747 | 2005. | 180 p. | RARed | PDF | 1.64MB

This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization…

Evolutionary Algorithms for Food Science and Technology  eBooks & eLearning

Posted by ksveta6 at Dec. 29, 2016
Evolutionary Algorithms for Food Science and Technology

Evolutionary Algorithms for Food Science and Technology by Evelyne Lutton, Nathalie Perrot, Alberto Tonda
2016 | ISBN: 1848218133 | English | 182 pages | PDF | 5 MB
Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems (Repost)

Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems By M. C. Bhuvaneswari
2015 | 188 Pages | ISBN: 8132219570 | PDF | 3 MB

Pattern Mining with Evolutionary Algorithms  eBooks & eLearning

Posted by Underaglassmoon at June 15, 2016
Pattern Mining with Evolutionary Algorithms

Pattern Mining with Evolutionary Algorithms
Springer | Image Processing | July 15, 2016 | ISBN-10: 3319338579 | 200 pages | pdf | 7.43 mb

Authors: Ventura, Sebastián, Luna, José María
Covers the use of Evolutionary Computation techniques to pattern mining problems
Uses algorithms that have been integrated into the well-known WEKA software for free use
Offers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process

Multiobjective Evolutionary Algorithms and Applications  eBooks & eLearning

Posted by tanas.olesya at April 24, 2016
Multiobjective Evolutionary Algorithms and Applications

Multiobjective Evolutionary Algorithms and Applications by Kay Chen Tan
English | May 4, 2005 | ISBN: 1852338369 | 296 Pages | PDF | 35 MB

Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Information Processing with Evolutionary Algorithms [Repost]  eBooks & eLearning

Posted by tanas.olesya at March 22, 2016
Information Processing with Evolutionary Algorithms [Repost]

Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations by Manuel Grana
English | 5 Jan. 2005 | ISBN: 1852338660 | 339 Pages | PDF | 3 MB

Provides a broad sample of current information processing applications Includes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

Multimodal Optimization by Means of Evolutionary Algorithms  eBooks & eLearning

Posted by roxul at March 19, 2016
Multimodal Optimization by Means of Evolutionary Algorithms

Mike Preuss, "Multimodal Optimization by Means of Evolutionary Algorithms"
English | ISBN: 3319074067 | 2016 | 212 pages | PDF | 6 MB