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» Dynamic Scheduling with Genetic Programming
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GECCO
2004
Springer
327views Optimization» more  GECCO 2004»
14 years 24 days ago
Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
Inspired by the efficient method of locomotion of the rattlesnake Crotalus cerastes, the objective of this work is automatic design through genetic programming, of the fastest poss...
Ivan Tanev, Thomas S. Ray, Andrzej Buller
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 11 months ago
Memory analysis and significance test for agent behaviours
Many agent problems in a grid world have a restricted sensory information and motor actions. The environmental conditions need dynamic processing of internal memory. In this paper...
DaeEun Kim
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
ICFP
2010
ACM
13 years 8 months ago
Lazy tree splitting
Nested data-parallelism (NDP) is a declarative style for programming irregular parallel applications. NDP languages provide language features favoring the NDP style, efficient com...
Lars Bergstrom, Mike Rainey, John H. Reppy, Adam S...
ASPLOS
2010
ACM
14 years 2 months ago
Request behavior variations
A large number of user requests execute (often concurrently) within a server system. A single request may exhibit fluctuating hardware characteristics (such as instruction comple...
Kai Shen