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» Group Properties of Crossover and Mutation
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BMEI
2008
IEEE
14 years 11 hour ago
Adaptive Gene Expression Programming Algorithm Based on Cloud Model
Standard Gene Expression Programming(GEP) works with fixed rate of mutation and crossover, ignoring the variation of the individual fitness, hence it works in the local optimum st...
Yue Jiang, Chang-jie Tang, Haichun Zheng, Chuan Li...
IADIS
2008
13 years 7 months ago
Information Retrieval with Cluster Genetic
This article presents an online cluster using genetic algorithms to increase information retrieval efficiency. The Information Retrieval (IR) is based on the grouping of documents...
José Luis Castillo Sequera, José Ra&...
IEEEICCI
2003
IEEE
13 years 10 months ago
Automatic Concept Evolution
An evolutionary algorithm can be used by a distributed group of interacting people to produce the solution to a problem. First the problem must be defined. Each member of the grou...
Terence C. Fogarty
ISDA
2005
IEEE
13 years 11 months ago
Hybrid Fuzzy-Genetic Algorithm Approach for Crew Grouping
Crew grouping is an important problem and formulating a good solution always involves many challenges. For example, grouping soldiers intelligently to tank combat units, we should...
Hongbo Liu, Zhanguo Xu, Ajith Abraham
CEC
2009
IEEE
14 years 9 days ago
A Bacterial Evolutionary Algorithm for automatic data clustering
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
Swagatam Das, Archana Chowdhury, Ajith Abraham