
Parallel Problem Solving from Nature - PPSN XII
12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I
Springer (Publisher)
Published on 24. July 2012
Book
Paperback/Softback
XXIII, 541 pages
978-3-642-32936-4 (ISBN)
Description
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.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
146 s/w Abbildungen
XXIII, 541 p. 146 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 31 mm
Weight
850 gr
ISBN-13
978-3-642-32936-4 (9783642329364)
DOI
10.1007/978-3-642-32937-1
Schweitzer Classification
Other editions
Additional editions

Carlos Coello Coello | Vincenzo Cutello | Kalyanmoy Deb
Parallel Problem Solving from Nature - PPSN XII
12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I
E-Book
08/2012
Springer
€53.49
Available for download
Content
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.