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CP
2004
Springer
14 years 27 days ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
ICSEA
2007
IEEE
14 years 1 months ago
Test Data Generation from UML State Machine Diagrams using GAs
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 8 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
ICC
2007
IEEE
138views Communications» more  ICC 2007»
14 years 1 months ago
Optimal Observation Scheduling for connected target coverage problem in Wireless Sensor Networks
— In this paper, we consider the problem of scheduling sensor activity to maximize network lifetime while maintaining both discrete targets coverage and network connectivity. We ...
Qun Zhao, Mohan Gurusamy
HPDC
2012
IEEE
11 years 10 months ago
vSlicer: latency-aware virtual machine scheduling via differentiated-frequency CPU slicing
Recent advances in virtualization technologies have made it feasible to host multiple virtual machines (VMs) in the same physical host and even the same CPU core, with fair share ...
Cong Xu, Sahan Gamage, Pawan N. Rao, Ardalan Kanga...