Improving the convergence rate of the DIRECT global optimization algorithm.
Qunfeng LiuGuang YangZhongzhi ZhangJinping ZengPublished in: J. Glob. Optim. (2017)
Keyphrases
- optimization algorithm
- convergence rate
- convergence speed
- multi objective
- learning rate
- number of iterations required
- step size
- particle swarm optimization pso
- optimization method
- differential evolution
- mutation operator
- gradient method
- evolutionary multi objective
- optimization strategy
- numerical stability
- global convergence
- artificial bee colony
- control parameters
- faster convergence rate
- hybrid optimization algorithm
- evolutionary algorithm
- global optima
- standard pso
- neural network
- variable step size