Multi-Objective Optimization Using Directed Mutation.
Stefan BerlikMadjid FathiPublished in: IC-AI (2005)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- differential evolution
- genetic algorithm
- multi objective
- crossover and mutation
- multi objective optimization problems
- fitness function
- optimization problems
- mutation operator
- nsga ii
- genetic operators
- evolutionary computation
- hybrid evolutionary algorithm
- optimization algorithm
- genetic programming
- crossover operator
- simulated annealing
- multiple objectives
- pareto optimal
- bi objective
- optimization method
- neural network
- multi objective evolutionary algorithms
- solving multi objective optimization problems
- multi objective genetic algorithms
- convergence speed
- evolution strategy
- multi objective genetic algorithm
- pareto frontier
- genetic algorithm ga
- estimation of distribution algorithms
- evolutionary strategy
- computer simulation
- upper bound
- pareto dominance
- dynamic programming
- artificial neural networks
- objective function