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GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
13 years 9 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
SAC
2004
ACM
13 years 10 months ago
Solving the maximum clique problem by k-opt local search
This paper presents a local search algorithm based on variable depth search, called the k-opt local search, for the maximum clique problem. The k-opt local search performs add and...
Kengo Katayama, Akihiro Hamamoto, Hiroyuki Narihis...
COR
2007
143views more  COR 2007»
13 years 5 months ago
A memetic algorithm for channel assignment in wireless FDMA systems
A new problem encoding is devised for the minimum span frequency assignment problem in wireless communications networks which is compact and general. Using the new encoding, which...
Sung-Soo Kim, Alice E. Smith, Jong-Hyun Lee
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
13 years 10 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 6 months ago
Adaptive discretization on multidimensional continuous search spaces
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Jiun-Jiue Liou, Ying-Ping Chen