Bayesian Evolutionary Algorithms

Industrial Applications of Evolutionary Algorithms (repost)

Industrial Applications of Evolutionary Algorithms
by Ernesto Sanchez
English | 2012 | ISBN: 3642274668 | 126 pages | PDF | 2.58 MB
 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…
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

Parameter Setting in Evolutionary Algorithms [Repost]  eBooks & eLearning

Posted by tanas.olesya at Feb. 29, 2016
Parameter Setting in Evolutionary Algorithms [Repost]

Parameter Setting in Evolutionary Algorithms by F.J. Lobo
English | 16 Mar. 2007 | ISBN: 3540694315 | 322 Pages | PDF | 10 MB

One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values.
Pricing Portfolio Credit Derivatives by Means of Evolutionary Algorithms (Repost)

Pricing Portfolio Credit Derivatives by Means of Evolutionary Algorithms by Svenja Hager, Prof. Dr.-Ing. Rainer Schöbel
Publisher: Gabler Verlag | 2008 | ISBN: 3834909157 | 160 pages | PDF | 3,3 MB

With the recent development of non-standard credit derivations, it has become increasingly important to develop pricing models for these illiquid products which are consistent with the pricing models and the market quotes of related liquid instruments.