Parallel Problem Solving from Nature -- PPSN XIII

13th International Conference, Ljubljana, Slovenia, September 13-17,2014, Proceedings
Herausgegeben:Bartz-Beielstein, Thomas; Branke, Jürgen; Filipic, Bogdan; Smith, James

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014.
The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

Produktdetails

• Theoretical Computer Science and General Issues 8672
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-10761-5
• 2014
• Seitenzahl: 980
• Erscheinungstermin: 24. September 2014
• Englisch
• Abmessung: 235mm x 155mm x 53mm
• Gewicht: 1473g
• ISBN-13: 9783319107615
• ISBN-10: 3319107615
• Artikelnr.: 41234121

Autorenporträt

James Smith, Professor für Afrika- und Entwicklungsstudien, ist Direktor des ESRC Innogen Research Centre in Edinburgh und bekleidet eine Ehrenprofessur an der Universität von Johannesburg. Er hat mit zahlreichen internationalen Organisationen zusammengearbeitet, unter anderem mit Oxfam.

Inhaltsangabe

Adaptation, Self-Adaptation and Parameter Tuning.- Classifier Systems, Differential Evolution and Swarm Intelligence.- Coevolution and Artificial Immune Systems.- Constraint Handling.- Dynamic and Uncertain Environments.- Estimation of Distribution Algorithms and Metamodelling.- Genetic Programming.- Multi-objective Optimisation.- Parallel Algorithms and Hardware Implementations.- Real-World Applications.- Theory.