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» A hybrid approach to parameter tuning in genetic algorithms
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COR
2006
95views more  COR 2006»
13 years 7 months ago
Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
In this paper we tackle the task assignment problem (TSAP) in heterogeneous computer systems. The TSAP consists of assigning a given distributed computer program formed by a numbe...
Sancho Salcedo-Sanz, Yong Xu, Xin Yao
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
14 years 2 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 11 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
ICCAD
2009
IEEE
171views Hardware» more  ICCAD 2009»
13 years 5 months ago
A hybrid local-global approach for multi-core thermal management
Multi-core processors have become an integral part of mainstream high performance computer systems. In parallel, exponentially increasing power density and packaging costs have ne...
Ramkumar Jayaseelan, Tulika Mitra
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
14 years 11 days ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins