Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed.
Mario García ValdezJuan Julián Merelo GuervósPublished in: GECCO (Companion) (2017)
Keyphrases
- particle swarm optimization pso
- genetic algorithm ga
- hybrid pso
- hybrid algorithm
- particle swarm optimisation
- genetic algorithm
- particle swarm optimization
- hybrid particle swarm optimization
- pso algorithm
- fitness function
- evolutionary methods
- optimization algorithm
- differential evolution
- simulated annealing
- multi objective
- particle swarm
- swarm intelligence
- particle swarm optimization algorithm
- premature convergence
- particle swarm optimizer
- information technology
- mathematical functions
- ant colony optimization
- metaheuristic
- hybrid ga
- execution model
- evolutionary algorithm
- hybrid optimization algorithm
- genetic operators
- hybrid method
- global optimization
- noisy data
- imperialist competitive algorithm
- simplex search
- amazon mechanical turk
- optimization method
- objective function
- hybrid genetic algorithm
- optimal solution
- search heuristics
- evolutionary process
- evolutionary computation
- mutation operation
- neural network
- tabu search
- aco algorithm
- search capabilities