Sharing mutation genetic algorithm for solving multi-objective problems.
Sheng-Ta HsiehShih-Yuan ChiuShi-Jim YenPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- multi objective problems
- differential evolution
- evolutionary algorithm
- particle swarm optimization
- multi objective
- multi objective optimization
- genetic algorithm
- mutation operator
- convergence speed
- optimization algorithm
- nsga ii
- fitness function
- test problems
- premature convergence
- multi objective evolutionary algorithms
- multiple objectives
- optimization method
- particle swarm optimization pso
- optimization problems
- particle swarm optimization algorithm
- evolutionary programming
- evolution strategy
- population size
- hybrid algorithm
- evolutionary computation
- particle swarm optimisation
- genetic programming
- simulated annealing
- global search
- genetic algorithm ga
- particle swarm
- benchmark problems
- evolutionary process
- crossover operator
- pso algorithm
- swarm intelligence
- scheduling problem
- objective function