Cantitate/Preț
Produs

Parallel Problem Solving from Nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I: Lecture Notes in Computer Science, cartea 7491

Editat de Carlos Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone
en Limba Engleză Paperback – 24 iul 2012
The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 5 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 33461 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 24 iul 2012 33461 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 24 iul 2012 33542 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 33542 lei

Preț vechi: 41928 lei
-20% Nou

Puncte Express: 503

Preț estimativ în valută:
6419 6751$ 5347£

Carte tipărită la comandă

Livrare economică 03-17 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642329364
ISBN-10: 3642329365
Pagini: 568
Ilustrații: XXIII, 541 p. 146 illus.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.77 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

evolutionary computation.- machine learning, classifier systems, image processing.- experimental analysis, encoding, EDA, GP; multiobjective optimization.- swarm intelligence, collective behavior, coevolution and robotics.- memetic algorithms, hybridized techniques, meta and hyperheuristics.- applications.

Caracteristici

Up-to-date results Fast track conference proceedings State-of-the-art report