Evolutionary Computation

Advances in Artificial Life and Evolutionary Computation (Repost)  eBooks & eLearning

Posted by DZ123 at March 13, 2017
Advances in Artificial Life and Evolutionary Computation (Repost)

Clara Pizzuti, Giandomenico Spezzano, "Advances in Artificial Life and Evolutionary Computation"
English | 2014 | ISBN: 3319127446 | PDF | pages: 223 | 29.9 mb
Applications of Evolutionary Computation in Image Processing and Pattern Recognition (repost)

Erik Cuevas, Daniel Zaldívar, "Applications of Evolutionary Computation in Image Processing and Pattern Recognition"
2015 | ISBN: 3319264605 | 292 pages | PDF | 18 MB

Interactive Evolutionary Computation in Design Applications for Virtual Worlds  eBooks & eLearning

Posted by AlenMiler at Feb. 28, 2017
Interactive Evolutionary Computation in Design Applications for Virtual Worlds

Interactive Evolutionary Computation in Design Applications for Virtual Worlds by Jan Kruse
English | 21 Feb. 2017 | ISBN: 1543196721 | 102 Pages | EPUB/PDF (conv) | 4.1 MB

Modern films, games and virtual reality are highly dependent on convincing computer graphics. Models of high complexity are a requirement for the successful delivery of many animated scenes and environments.

Artificial Life and Evolutionary Computation (repost)  eBooks & eLearning

Posted by interes at Feb. 18, 2017
Artificial Life and Evolutionary Computation (repost)

Artificial Life and Evolutionary Computation by Roberto Serra, Marco Villani, Irene Poli
English | 2010 | ISBN: 981428744X | 324 pages | PDF | 6,4 MB

Evolutionary Computation with Biogeography-based Optimization  eBooks & eLearning

Posted by Underaglassmoon at Jan. 19, 2017
Evolutionary Computation with Biogeography-based Optimization

Evolutionary Computation with Biogeography-based Optimization
Wiley ISTE | English | January 2017 | ISBN-10: 1848218079 | 344 pages | PDF | 6.10 mb

Haiping Ma, Dan Simon

Evolutionary Computation in Gene Regulatory Network Research  eBooks & eLearning

Posted by interes at Jan. 1, 2017
Evolutionary Computation in Gene Regulatory Network Research

Evolutionary Computation in Gene Regulatory Network Research by Hitoshi Iba and Nasimul Noman
English | 2016 | ISBN: 1118911512 | 464 pages | True PDF | 17 MB

Evolutionary Computation: Techniques and Applications  eBooks & eLearning

Posted by AlenMiler at Dec. 9, 2016
Evolutionary Computation: Techniques and Applications

Evolutionary Computation: Techniques and Applications by Ashish M. Gujarathi
English | 20 Oct. 2016 | ISBN: 1771883367 | 595 Pages | AZW3/MOBI/EPUB/PDF (conv) | 105.29 MB

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications.
Multi-agent Applications with Evolutionary Computation and Biologically Inspired Technologies [Repost]

Multi-agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization by Yasushi Kambayashi
English | 30 Oct. 2011 | ISBN: 1605668982 | 384 Pages | PDF | 8 MB
Evolutionary Computation in Gene Regulatory Network Research (Wiley Series in Bioinformatics)

Evolutionary Computation in Gene Regulatory Network Research (Wiley Series in Bioinformatics) by Hitoshi Iba
English | Feb. 16, 2016 | ISBN: 1118911512 | ASIN: B01AYO47SM | 464 Pages | AZW3/EPUB/PDF (conv) | 40.39 MB

Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists.
Frontiers of Evolutionary Computation (Genetic Algorithms and Evolutionary Computation) by Anil Menon [Repost]

Frontiers of Evolutionary Computation (Genetic Algorithms and Evolutionary Computation) by Anil Menon
English | Feb 29, 2004 | ISBN: 1402075243 | 296 Pages | PDF | 5 MB

Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (EC).