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PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 2 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
CEC
2007
IEEE
14 years 12 hour ago
A versatile quantum-inspired evolutionary algorithm
Abstract-- This study points out some weaknesses of existing Quantum-Inspired Evolutionary Algorithms (QEA) and explains in particular how hitchhiking phenomenons can slow down the...
Michael Defoin-Platel, Stefan Schliebs, Nikola Kas...
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
14 years 1 months ago
Schema disruption in tree-structured chromosomes
We study if and when the inequality dp(H) ≤ rel∆(H) holds for schemas H in chromosomes that are structured as trees. The disruption probability dp(H) is the probability that a...
William A. Greene
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 1 months ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
14 years 1 months ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...