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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 2 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
WSC
2004
13 years 9 months ago
Multi-Period Robust Capacity Planning Based on Product and Process Simulations
This paper presents a method for allocating production capacity among flexible and dedicated machines based on uncertain demand forecasts of products in a production portfolio. Gi...
Emre Kazancioglu, Kazuhiro Saitou
APIN
2000
120views more  APIN 2000»
13 years 7 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano
BMCBI
2008
158views more  BMCBI 2008»
13 years 7 months ago
VarDetect: a nucleotide sequence variation exploratory tool
Background: Single nucleotide polymorphisms (SNPs) are the most commonly studied units of genetic variation. The discovery of such variation may help to identify causative gene mu...
Chumpol Ngamphiw, Supasak Kulawonganunchai, Anunch...
CEC
2009
IEEE
14 years 2 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...