To the signal optimization problem of urban traffic, a hybrid optimization algorithm is presented.
针对城市交通信号优化问题，提出了一种改进的混合优化算法。
It be used in disassembly sequence planning process which is a hybrid optimization algorithm, the particle swarm-simulated annealing optimization algorithm (PSO-SA).
本文将基于模拟退火的粒子群优化算法这一混合优化算法应用于拆卸序列规划求解问题。
A novel hybrid algorithm approach that employs a particle swarm optimization (PSO) and a multistage detection for the multiuser detection problem (PSOMSD) is proposed.
提出了一种新颖的基于粒子群优化和多级检测的混合算法的多用户检测器。
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