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120
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GECCO
1999
Springer
116views Optimization» more  GECCO 1999»
15 years 6 months ago
Dynamic Degree Constrained Network Design: A Genetic Algorithm Approach
The design and development of network infrastructure to support mission-critical operations has become a critical and complicated issue. In this study we explore the use of geneti...
Chao-Hsien Chu, G. Premkumar, Carey Chou, Jianzhon...
133
Voted
DEXA
1998
Springer
112views Database» more  DEXA 1998»
15 years 6 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis
144
Voted
EPS
1997
Springer
15 years 6 months ago
An Individually Variable Mutation-Rate Strategy for Genetic Algorithms
Abstract. In Neo-Darwinism, mutation can be considered to be unaffected by selection pressure. This is the metaphor generally used by the genetic algorithm for its treatment of the...
Stephen A. Stanhope, Jason M. Daida
SAC
1996
ACM
15 years 6 months ago
A genetic algorithm for the minimum broadcast time problem using a global precedence vector
The problem of broadcasting a message through a network is considered. The objective is to minimize the number of time steps necessary to complete the broadcast. This problem is k...
Cory J. Hoelting, Dale A. Schoenefeld, Roger L. Wa...
145
Voted
ICTAI
1992
IEEE
15 years 6 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong