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PPSN
2000
Springer
14 years 2 days ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
ICDE
2007
IEEE
120views Database» more  ICDE 2007»
14 years 2 months ago
Optimizing State-Intensive Non-Blocking Queries Using Run-time Adaptation
Main memory is a critical resource when processing non-blocking queries with state intensive operators that require real-time responses. While partitioned parallel processing can ...
Bin Liu, Mariana Jbantova, Elke A. Rundensteiner
TEC
2008
100views more  TEC 2008»
13 years 8 months ago
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Ernesto Mininno, Francesco Cupertino, David Naso
SAB
2010
Springer
110views Optimization» more  SAB 2010»
13 years 6 months ago
How to Pick the Right One: Investigating Tradeoffs among Female Mate Choice Strategies in Treefrogs
Two main theories of female mate choice, that females either pick the best from the n closest males (best-of-n) or the closest with some minimum quality (min-threshold), make diffe...
Matthias Scheutz, Jack Harris, Sunny K. Boyd
EATIS
2007
ACM
14 years 12 days ago
Analysing and enhancing business processes and IT-systems for mobile workforce automation: a framework approach
Mobile B2E-applications (business-to-employee) can add significant value to a company's business, when large workforce divisions are involved in the execution of certain busi...
Volker Gruhn, André Köhler