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162
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
To help unravel the structure of the universe, astronomers have developed systems which observe large clusters of objects at the same time. One such system is the 2-degree field s...
175
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
185
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
186
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
162
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...