Optimization of noisy fitness functions by means of genetic algorithms using history of search with test of estimation.
Yasuhito SanoHajime KitaPublished in: IEEE Congress on Evolutionary Computation (2002)
Keyphrases
- fitness function
- genetic algorithm
- fitness evaluation
- evolutionary search
- genetic programming
- test data generation
- evolutionary algorithm
- candidate solutions
- search space
- global search
- evolutionary computation
- genetic algorithm ga
- genetic search
- particle swarm
- genetic operators
- optimization problems
- search algorithm
- multi objective
- evolutionary strategy
- optimization algorithm
- particle swarm optimization
- optimization method
- optimization process
- neural network
- genetic algorithm is employed
- constrained optimization problems
- function optimization
- initial population
- evolution strategy
- crossover operator
- fuzzy model
- penalty function
- evolutionary process
- multi objective evolutionary algorithms
- selection strategy
- multi objective optimization
- crossover and mutation
- metaheuristic
- search capabilities
- multiple objectives
- particle swarm optimization pso
- simulated annealing
- feature selection