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CEC
2008
IEEE
14 years 1 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
PPSN
1998
Springer
13 years 11 months ago
Multi-parent Recombination in Genetic Algorithms with Search Space Boundary Extension by Mirroring
In previous work, we have investigated real coded genetic algorithms with several types of multi-parent recombination operators and found evidence that multi-parent recombination w...
Shigeyoshi Tsutsui
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
13 years 11 months ago
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models
In this paper we describe a method for improving genetic-algorithm-based optimization using informed genetic operators. The idea is to make the genetic operators such as mutation ...
Khaled Rasheed, Haym Hirsh
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 1 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...
CATA
2007
13 years 9 months ago
Simulated Evolution based Hybrids for Genetic Algorithm and Tabu Search
In this paper, Simulated Evolution based goodness attributes are incorporated into Tabu Search and Genetic Algorithms to enhance performance as compared to canonical strategies. I...
Sadiq M. Sait, Mohammed Faheemuddin, Mustafa I. Al...