Optimising multi-modal polynomial mutation operators for multi-objective problem classes.
Kent McClymontEd KeedwellPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- multi modal
- multi objective
- mutation operator
- evolutionary algorithm
- nsga ii
- genetic algorithm
- optimization algorithm
- differential evolution
- multi objective optimization
- crossover operator
- particle swarm optimization
- genetic operators
- optimization problems
- multi modality
- fitness function
- video search
- cross modal
- objective function
- crossover and mutation operators
- semantic concepts
- genetic programming
- simulated annealing
- convergence speed
- neural network
- high dimensional