Atjaunināt sīkdatņu piekrišanu

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III 2014 ed. [Hardback]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Hardback, 259 pages, height x width: 235x155 mm, weight: 5443 g, XVIII, 259 p., 1 Hardback
  • Sērija : Studies in Computational Intelligence 500
  • Izdošanas datums: 06-Aug-2013
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319014595
  • ISBN-13: 9783319014593
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 136,16 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 160,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Hardback, 259 pages, height x width: 235x155 mm, weight: 5443 g, XVIII, 259 p., 1 Hardback
  • Sērija : Studies in Computational Intelligence 500
  • Izdošanas datums: 06-Aug-2013
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319014595
  • ISBN-13: 9783319014593
Citas grāmatas par šo tēmu:
This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects.

The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains.

Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal.
Part I Probabilistic Modeling
Effective Structure Learning in Bayesian Network Based EDAs
3(28)
S. Ivvan Valdez
Arturo Hernandez
Salvador Botello
Optimization by Structure Learning during Algorithm Execution Using an Adaptive Extended Tree Cliqued -- EDA (AETC -- EDA)
31(22)
Eunice Esther Ponce-de-Leon-Senti
Elva Diaz-Diaz
Support Tool for a Bayesian Network Based Critical Infrastructure Risk Model
53(24)
Thomas Schaberreiter
Pascal Bouvry
Juha Roning
Djamel Khadraoui
Challenges on Probabilistic Modeling for Evolving Networks
77(20)
Jianguo Ding
Pascal Bouvry
Part II Evolutionary Computation for Vision, Graphics, and Robotics
Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming
97(24)
Gustavo Olague
Eddie Clemente
Leon Dozal
Daniel E. Hernandez
Optimizing a Conspicuous Point Detector for Camera Trajectory Estimation with Brain Programming
121(20)
Daniel E. Hernandez
Gustavo Olague
Eddie Clemente
Leon Dozal
Optimizing an Artificial Dorsal Stream on Purpose for Visual Attention
141(28)
Gustavo Olague
Leon Dozal
Eddie Clemente
Arturo Ocampo
Part III Multi-objective Optimization
Time Complexity and Zeros of the Hypervolume Indicator Gradient Field
169(26)
Michael Emmerich
Andre Deutz
A Multi-Directional Modified Physarum Algorithm for Optimal Multi-Objective Discrete Decision Making
195(18)
L. Masi
M. Vasile
A Combined Pareto Differential Evolution Approach for Multi-objective Optimization
213(20)
Oluwatosin Olofintoye
Josiah Adeyemo
Fred Otieno
PSA Based Multi Objective Evolutionary Algorithms
233(28)
Shaul Salomon
Christian Dominguez-Medina
Gideon Avigad
Alan Freitas
Alex Goldvard
Oliver Schutze
Heike Trautmann
Author Index 261