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» Optimization of Genetic Operators for Scheduling Problems
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GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 3 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 27 days ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 6 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
COR
2006
96views more  COR 2006»
14 years 12 months ago
Scheduling two parallel machines with a single server: the general case
This paper considers the problem of scheduling two-operation non-preemptable jobs on two identical semiautomatic machines. A single server is available to carry out the first (or ...
Amir H. Abdekhodaee, Andrew Wirth, Heng-Soon Gan
CF
2008
ACM
15 years 1 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer