
Parallel Problem Solving from Nature - PPSN VIII
8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings
Springer (Publisher)
Published on 13. September 2004
Book
Paperback/Softback
XL, 1188 pages
978-3-540-23092-2 (ISBN)
Description
We are very pleased to present this LNCS volume, the proceedings of the 8th InternationalConferenceonParallelProblemSolvingfromNature(PPSNVIII). PPSN is one of the most respected and highly regarded conference series in evolutionary computation and natural computing/computation. This biennial eventwas?rstheldinDortmundin1990,andtheninBrussels(1992),Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), and Granada (2002). PPSN VIII continues to be the conference of choice by researchers all over the world who value its high quality. We received a record 358 paper submissions this year. After an extensive peer review process involving more than 1100 reviews, the programme c- mittee selected the top 119 papers for inclusion in this volume and, of course, for presentation at the conference. This represents an acceptance rate of 33%. Please note that review reports with scores only but no textual comments were not considered in the chairs' ranking decisions. The papers included in this volume cover a wide range of topics, from e- lutionary computation to swarm intelligence and from bio-inspired computing to real-world applications. They represent some of the latest and best research in evolutionary and natural computation. Following the PPSN tradition, all - persatPPSNVIII werepresentedasposters.Therewere7 sessions:eachsession consisting of around 17 papers. For each session, we covered as wide a range of topics as possible so that participants with di?erent interests would ?nd some relevant papers at every session.
More details
Series
Edition
2004 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XL, 1188 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
1340 gr
ISBN-13
978-3-540-23092-2 (9783540230922)
DOI
10.1007/b100601
Schweitzer Classification
Content
Theory.- New Algorithms.- Applications.- Multi-objective Optimisation.- Co-evolution.- Robotics and Multi-agent Systems.- Learning Classifier Systems and Data Mining.