Demonstrating constraints to diversity with a tunably difficult problem for genetic programming.
Jason M. DaidaMichael E. SamplesBryan T. HartJeffry HalimAditya KumarPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- genetic programming
- symbolic regression
- evolutionary computation
- fitness function
- gene expression programming
- evolutionary algorithm
- genetic algorithm
- classification rules
- restrictive assumptions
- constrained optimization
- np complete
- constraint satisfaction
- real time
- geometric constraints
- global constraints
- constraint networks
- regression problems
- hyper heuristics
- machine learning
- physical constraints
- real world
- financial forecasting
- data sets