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» Introduction to genetic algorithms
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FLAIRS
2000
14 years 11 months ago
Partitioning Sets with Genetic Algorithms
We first revisit a problem in the literature of genetic algorithms: arranging numbers into groups whose summed weights are as nearly equal as possible. We provide a new genetic al...
William A. Greene
67
Voted
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
14 years 10 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
Dana Vrajitoru
UC
2005
Springer
15 years 3 months ago
Using Genetic Algorithms to Evolve Behavior in Cellular Automata
Abstract. It is an unconventional computation approach to evolve solutions instead of calculating them. Although using evolutionary computation in computer science dates back to th...
Thomas Bäck, Ron Breukelaar
95
Voted
GECCO
2003
Springer
122views Optimization» more  GECCO 2003»
15 years 2 months ago
Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem
The Linear Ordering Problem(LOP), which is a well-known NP-hard problem, has numerous applications in various fields. Using this problem as an example, we illustrate a general pro...
Gaofeng Huang, Andrew Lim
88
Voted
GECCO
1999
Springer
115views Optimization» more  GECCO 1999»
15 years 1 months ago
A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
Carlos A. Brizuela, Nobuo Sannomiya