...测试数据的效率和其应用于测试数据自动生成领域的实用性为目的,提出基于改善简化粒子群算法(Simple Particle Swarm Optimization, sPSO)的测试数据自动生成策略。简化粒子群算法的进化方程中去掉了粒子速度项,仅由粒子位置更新实现进化过程。
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...点,采用简 化粒子群优化方程和添加极值扰动算子两种策略加以 改进, 提出了简化粒子群优化( simple particle swarm optimization , sPSO) 算法、带极值扰动粒子群优化(ex2 t remum dist urbed particle swa...
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A new algorithm of swarm intelligence, Particle swarm Optimization (PSO), which is an algorithm of simple implementation and fast convergence with few parameters, is introduced in this paper.
介绍了一种新的集群智能算法-微粒群算法(PSO)，该算法具有实现简单、参数少且收敛快的特点。
Considering that the particle swarm optimization (PSO) algorithm is quite simple and easy to implement, it was used to estimate the nonlinear model parameters in this paper.
粒子群算法操作简便、容易实现且全局搜索功能较强，适用于非线性参数估计。
Particle swarm optimizers are a simple stochastic glob al optimization technique.
粒子群优化算法是一类简单有效的随机全局优化技术。
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