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Point Symmetry Clustering Approach Using Differential Evolution
Implementation of Point Symmetry-based Automatic Clustering
Approach Using Differential Evolution
Using bug fixed KD tree nearest neighbor search from https://github.com/CristianDallos/kmeansclustering. (It is also modified to search for multiple nearest points instead only for one.)
Used those academic works for algorithm implementation:
http://cs.cug.edu.cn/teacherweb/gwy/Publication/ISICA-09.pdf
http://www.isical.ac.in/~sanghami/ieeetkde_cameraready.pdf
http://www.softcomputing.net/smca-paper1.pdf
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A novel and effictive GA algorithm to solve optimization problem
Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and.
distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.