An Evolutionary Algorithm with Classifier Guided Constraint Evaluation Strategy for Computationally Expensive Optimization Problems.
Kalyan Shankar BhattacharjeeTapabrata RayPublished in: Australasian Conference on Artificial Intelligence (2015)
Keyphrases
- computationally expensive
- evolutionary algorithm
- optimization problems
- evolutionary computation
- multi objective
- evolutionary strategy
- computationally efficient
- fitness function
- metaheuristic
- differential evolution
- genetic programming
- constrained optimization problems
- evolution strategy
- simulated annealing
- training data
- feature selection
- learning classifier systems
- multi objective optimization
- optimization methods
- decision trees
- learning algorithm
- mutation operator
- classification process
- linear classifiers
- optimization method
- genetic algorithm
- training set
- evolutionary process
- candidate solutions
- function optimization
- support vector
- nonlinear programming
- genetic operators
- linear constraints
- constraint satisfaction
- selection strategy
- crossover operator
- traveling salesman problem
- data sets
- classification algorithm
- training examples
- feature set
- computational complexity
- objective function
- neural network