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CIMCA
2005
IEEE
16 years 1 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
GECCO
2003
Springer
121views Optimization» more  GECCO 2003»
16 years 26 days ago
Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
Intermediate measurements in quantum circuits compare to conditional branchings in programming languages. Due to this, quantum circuits have a natural linear-tree structure. In thi...
André Leier, Wolfgang Banzhaf
AAIM
2007
Springer
106views Algorithms» more  AAIM 2007»
15 years 11 months ago
A New Efficient Algorithm for Computing the Longest Common Subsequence
Abstract. The Longest Common Subsequence (LCS) problem is a classic and well-studied problem in computer science. The LCS problem is a common task in DNA sequence analysis with man...
M. Sohel Rahman, Costas S. Iliopoulos
DCC
2010
IEEE
16 years 2 months ago
gFPC: A Self-Tuning Compression Algorithm
This paper presents and evaluates gFPC, a self-tuning implementation of the FPC compression algorithm for double-precision floating-point data. gFPC uses a genetic algorithm to re...
Martin Burtscher, Paruj Ratanaworabhan
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
16 years 1 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introdu...
Pasut Seeluangsawat, Prabhas Chongstitvatana