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Parallel Problem Solving from Nature - PPSN IX 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings / [electronic resource] : edited by Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley, Xin Yao. - XIX, 1061 p. online resource. - Lecture Notes in Computer Science, 4193 0302-9743 ; . - Lecture Notes in Computer Science, 4193 .

Theory -- New Algorithms -- Applications -- Multi-objective Optimization -- Evolutionary Learning -- Representations, Operators, and Empirical Evaluation.

We are very pleased to present this LNCS volume, the proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN IX). PPSNisoneofthemostrespectedandhighlyregardedconferenceseriesinevo- tionary computation and natural computing / computation. This biennial event was ?rst held in Dortmund in 1990, and then in Brussels (1992), Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), Granada (2002), and Birmingham(2004).PPSNcontinuestobetheconferenceofchoicebyresearchers all over the world, who value its high quality. We received 255 paper submissions this year. After an extensive peer review process involving more than 1000 reviews, the programme committee selected the top 106 papers for inclusion in this volume and, of course, for presentation at the conference. This represents an acceptance rate of 42%. 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 - pers at PPSN IX were presented as posters. There were 7 sessions: each session consisting of around 15 papers. For each session, we covered as wide a range of topics as possible so that participants with di?erent interests could ?nd some relevant papers in every session.


10.1007/11844297 doi

Computer science.
Architecture, Computer.
Computer programming.
Software engineering.
Artificial intelligence.
Computer Science.
Computer System Implementation.
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Programming Techniques.
Software Engineering.
Artificial Intelligence (incl. Robotics).

QA76.9.A73 QA76.9.S88


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