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PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
PPSN
2004
Springer
14 years 21 days ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
Petr Posik
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 17 days ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
EVOW
2004
Springer
14 years 22 days ago
Improving Edge Recombination through Alternate Inheritance and Greedy Manner
Genetic Algorithms (GAs) are well-known heuristic algorithms and have been widely applied to solve combinatorial problems. Edge recombination is one of the famous crossovers design...
Chuan-Kang Ting
GECCO
2006
Springer
200views Optimization» more  GECCO 2006»
13 years 11 months ago
A new approach for shortest path routing problem by random key-based GA
In this paper, we propose a Genetic Algorithm (GA) approach using a new paths growth procedure by the random key-based encoding for solving Shortest Path Routing (SPR) problem. An...
Mitsuo Gen, Lin Lin