Posted by **AlenMiler** at Dec. 29, 2015

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?

Posted by **exLib** at Jan. 17, 2015

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.

Posted by **srinivasgoud** at July 4, 2010

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.

Posted by **misirac** at May 6, 2007

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…

Posted by **ksveta6** at Dec. 29, 2016

2016 | ISBN: 1848218133 | English | 182 pages | PDF | 5 MB

Posted by **bookwyrm** at June 26, 2016

2015 | 188 Pages | ISBN: 8132219570 | PDF | 3 MB

Posted by **Underaglassmoon** at June 15, 2016

Springer | Image Processing | July 15, 2016 | ISBN-10: 3319338579 | 200 pages | pdf | 7.43 mb

Authors: Ventura, Sebastián, Luna, José María

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

Posted by **tanas.olesya** at April 24, 2016

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.

Posted by **tanas.olesya** at March 22, 2016

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

Posted by **roxul** at March 19, 2016

English | ISBN: 3319074067 | 2016 | 212 pages | PDF | 6 MB