Bayesian Evolutionary Algorithms

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…

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases  eBooks & eLearning

Posted by leonardo78 at June 14, 2018
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases by Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh
Language: English | 2008 | ISBN: 3540774661 | 162 pages | PDF | 5,8 MB

The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for …

Introduction to Evolutionary Algorithms (Repost)  eBooks & eLearning

Posted by AvaxGenius at Jan. 14, 2018
Introduction to Evolutionary Algorithms (Repost)

Introduction to Evolutionary Algorithms By Xinjie Yu
English | PDF | 2010 | 427 Pages | ISBN : 184996128X | 3.68 MB

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.
Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Repost)

Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? By Catalin Stoean, Ruxandra Stoean
2014 | 140 Pages | ISBN: 3319069403 | PDF | 3 MB
Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation

Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation By Ivan Zelinka
English | PDF,EPUB | 2017 (2018 Edition) | 322 Pages | ISBN : 3662556618 | 48.55 MB

Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems.

Advances in Evolutionary Algorithms Research  eBooks & eLearning

Posted by readerXXI at Oct. 22, 2017
Advances in Evolutionary Algorithms Research

Advances in Evolutionary Algorithms Research
by Gregor Papa
English | 2015 | ISBN: 1634638492 | 172 Pages | PDF | 8.7 MB

Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications  eBooks & eLearning

Posted by AlenMiler at Sept. 17, 2017
Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications

Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications by S. Rajasekaran
English | 1 Sept. 2017 | ISBN: 812035334X | ASIN: B0757KXR13 | 572 Pages | AZW3 | 31.68 MB

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization  eBooks & eLearning

Posted by nebulae at Sept. 9, 2017
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Omid Bozorg–Haddad and Mohammad Solgi, "Meta-heuristic and Evolutionary Algorithms for Engineering Optimization"
English | ISBN: 1119386993 | 2017 | 304 pages | PDF | 2 MB

"Evolutionary Algorithms" ed. by Eisuke Kita  eBooks & eLearning

Posted by exLib at July 1, 2017
"Evolutionary Algorithms" ed. by Eisuke Kita

"Evolutionary Algorithms" ed. by Eisuke Kita
InTeO | 2011 | ISBN: 9533071710 9789533071718 | 595 pages | PDF | 34 MB

Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

Bayesian Evolutionary Analysis with BEAST  eBooks & eLearning

Posted by roxul at May 25, 2017
Bayesian Evolutionary Analysis with BEAST

Alexei J. Drummond, "Bayesian Evolutionary Analysis with BEAST"
2015 | ISBN-10: 1107019656 | 260 pages | true PDF | 3 MB