Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS.
Ken HaradaKokolo IkedaShigenobu KobayashiPublished in: GECCO (2006)
Keyphrases
- function optimization
- genetic algorithm
- multi objective
- evolutionary algorithm
- mutation operator
- crossover operator
- fitness function
- multi objective optimization
- genetic algorithm ga
- function optimization problems
- global search
- hybrid algorithm
- simulated annealing
- multiobjective optimization
- particle swarm optimization
- optimization algorithm
- genetic operators
- ant colony optimization
- tabu search
- memetic algorithm
- evolutionary computation
- clonal selection algorithm
- recommender systems
- collaborative filtering
- metaheuristic
- job shop scheduling problem
- differential evolution
- nsga ii
- crossover and mutation operators
- optimization problems
- optimization method
- neural network
- genetic programming
- hybrid ga
- hybrid genetic algorithm
- artificial neural networks
- selection operator
- crossover and mutation
- population diversity
- initial population
- artificial immune system
- premature convergence
- search algorithm
- penalty function
- search space
- convergence speed
- feature space