An Experimental Comparison Between Genetic Algorithm and Particle Swarm Optimization in Spark Performance Tuning.
Yuzhao WangQixiao LiuJunqing YuZhibin YuPublished in: ETCD@ASPLOS (2017)
Keyphrases
- particle swarm optimization
- genetic algorithm
- multi objective
- real coded
- pso algorithm
- hybrid algorithm
- constraint handling
- global optimization
- swarm intelligence
- differential evolution
- particle swarm optimization algorithm
- metaheuristic
- ant colony optimization
- particle swarm
- global search
- particle swarm optimization pso
- neural network
- fitness function
- particle swarm optimizer
- convergence speed
- crossover operator
- population size
- evolutionary algorithm
- multi objective optimization
- inertia weight
- evolutionary computation
- genetic algorithm ga
- tabu search
- evolutionary strategy
- simulated annealing
- job shop scheduling problem
- fuzzy logic
- optimization method
- shuffled frog leaping algorithm
- hybrid genetic algorithm
- population diversity
- high end
- genetic operators
- nsga ii
- optimization algorithm