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CEC
2005
IEEE
14 years 2 months ago
An empirical analysis of the grouping genetic algorithm: the timetabling case
A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look...
Rhydian Lewis, Ben Paechter
GECCO
2009
Springer
14 years 1 months ago
Using simulated annealing for producing software architectures
Automatic design of software architecture by use of genetic algorithms has already been shown to be feasible. A natural problem is to augment – if not replace – genetic algori...
Outi Räihä, Erkki Mäkinen, Timo Por...
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 10 months ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 2 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
14 years 3 months ago
A genetic algorithm for resident physician scheduling problem
This paper formally presents the resident physician scheduling problem, which is one of the most important scheduling problems in hospital. The resident physician scheduling probl...
Chi-Way Wang, Lei-Ming Sun, Ming-Hui Jin, Chung-Ju...