The effect of crossover on the behavior of the GA in dynamic environments: a case study using the shaky ladder hyperplane-defined functions.
William RandRick L. RioloJohn H. HollandPublished in: GECCO (2006)
Keyphrases
- dynamic environments
- hyperplane
- genetic algorithm ga
- genetic algorithm
- input space
- support vector
- autonomous agents
- training samples
- evolutionary algorithm
- data points
- path planning
- mobile robot
- support vector machine
- linearly independent
- linearly separable
- fitness function
- incremental learning algorithm
- maximal margin
- feature space
- support vectors
- differential evolution
- crossover and mutation
- kernel function
- artificial neural networks
- convex hull
- crossover operator
- genetic programming
- linear separability
- changing environment
- neural network
- decision trees
- normal vectors
- svm classifier
- reinforcement learning
- pattern recognition
- training set
- input data