738 search results - page 7 / 148 » Crossover can provably be useful in evolutionary computation |
107
click to vote
EC
2006
14 years 9 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
68
Voted
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
—In recent years a lot of progress has been made in understanding the behavior of evolutionary computation methods for single- and multi-objective problems. Our aim is to analyze...
79
Voted
AISB
1994
Springer
15 years 1 months ago
1994
Springer
Abstract. A formal, representation-independent form of a memetic algorithm-a genetic algorithm incorporating local search--is introduced. A generalisedform of N-point crossover is ...
65
Voted
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
72
Voted
CIG
2006
IEEE
14 years 11 months ago
2006
IEEE
We have previously investigated the use of artificial neural networks to ride simulated motorbikes in a new computer game. These artificial neural networks were trained using two d...