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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 3 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
IMECS
2007
14 years 11 months ago
A Hybrid Markov Model for Accurate Memory Reference Generation
—Workload characterisation and generation is becoming an increasingly important area as hardware and application complexities continue to advance. In this paper, we introduce a c...
Rahman Hassan, Antony Harris
88
Voted
CDC
2008
IEEE
137views Control Systems» more  CDC 2008»
15 years 4 months ago
An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems
— This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
Alessandro Abate, Maria Prandini, John Lygeros, Sh...
75
Voted
JMM2
2008
107views more  JMM2 2008»
14 years 9 months ago
Dynamic Generation of SMIL-Based Multimedia Interfaces
The current heterogeneous world of networks and terminals combined with the generalized mobility of users pose telecommunications operators and service providers the challenge of d...
José Manuel Oliveira, Eurico Carrapatoso
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 3 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...