The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming.
Khaled M. S. BadranPeter I. RockettPublished in: GECCO (2007)
Keyphrases
- genetic programming
- multi objective
- evolutionary algorithm
- population diversity
- evolutionary process
- mutation operator
- pareto optimal solutions
- premature convergence
- fitness function
- multi objective evolutionary algorithms
- evolutionary computation
- genetic algorithm
- multi objective optimization
- differential evolution
- optimization algorithm
- nsga ii
- particle swarm optimization
- crossover operator
- grammar guided genetic programming
- optimization problems
- genetic operators
- multiple objectives
- multiobjective optimization
- gene expression programming
- pareto dominance
- simulated annealing
- initial population
- fitness values
- selection operator
- symbolic regression
- particle swarm
- pareto optimal set
- conflicting objectives
- population size
- crossover and mutation
- evolution strategy
- evolutionary strategy
- mutation rate
- fitness landscape
- differential evolution algorithm
- bi objective
- pareto optimal
- neural network
- artificial neural networks
- artificial bee colony
- candidate solutions
- genetic algorithm ga
- financial forecasting
- multiobjective evolutionary algorithm
- pso algorithm
- mutation probability