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» Dynamic Scheduling with Genetic Programming
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PLDI
2012
ACM
11 years 9 months ago
Sound and precise analysis of parallel programs through schedule specialization
Parallel programs are known to be difficult to analyze. A key reason is that they typically have an enormous number of execution interleavings, or schedules. Static analysis over...
Jingyue Wu, Yang Tang, Gang Hu, Heming Cui, Junfen...
WSC
2007
13 years 9 months ago
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming
There has long been a competition between simulation and optimization in the modeling of problems in transportation and logistics, machine scheduling and similar highdimensional p...
Warren B. Powell
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 1 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
13 years 5 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
PDPTA
2004
13 years 8 months ago
An Evaluation of Distributed Scheduling Algorithms Within the DESPOT Architecture
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
Daniel Andresen, Jeffrey Lebak, Ethan Bowker