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PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
78
Voted
GECCO
1999
Springer
145views Optimization» more  GECCO 1999»
15 years 1 months ago
Three Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes within evolutionary systems. Following a summary of the significant features of em...
Peter J. Bentley, Sanjeev Kumar
CEC
2003
IEEE
15 years 1 months ago
Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data
AbstractGaphyl is an application of evolutionary algorithms (EA's) to phylogenetics, an approach used by biologists to investigate evolutionary relationships among organisms. ...
Clare Bates Congdon, Kevin J. Septor
77
Voted
EVOW
2003
Springer
15 years 2 months ago
Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
David Corne, Martin J. Oates, Douglas B. Kell
CEC
2009
IEEE
15 years 4 months ago
When is an estimation of distribution algorithm better than an evolutionary algorithm?
—Despite the wide-spread popularity of estimation of distribution algorithms (EDAs), there has been no theoretical proof that there exist optimisation problems where EDAs perform...
Tianshi Chen, Per Kristian Lehre, Ke Tang, Xin Yao