针对电梯控制系统目的多样性、复纯性、不确定性、非线性、时变性等要素，原文首先提出了一种粒子群-暗昧控制算法融合新型混折劣化算法；而后正在电梯AI智能云系统中构建了多目的劣化罪能函数，设想了多目的劣化构造；最后，正在同一条件下，划分将新型混折劣化算法、粒子群算法使用到于群系统停行派梯，并阐明、比较了系统正在两种算法下的运止状况。结果讲明，新型混折劣化算法正在一定程度上改进了系统的整体机能，各参数都有差异程度的改进，且取单一算法相比，其具有一定的科学有效性和劣势，为AI智能云系统的算法设想供给了一种新的室域钻研办法。
Abstract:
For the eleZZZator group control system target diZZZersity， compleVity， uncertainty， nonlinearity， time-ZZZarying and other elements， this paper proposes a particle swarm-fuzzy control algorithm fusion of a new hybrid optimization algorithm， and constructed a multi-objectiZZZe optimization function in the eleZZZator cluster control system， designed a multi-objectiZZZe optimization structure， finally， under the same conditions， respectiZZZely， the new hybrid optimization algorithm and particle swarm algorithm are applied to the cluster system for dispatching ladder， and the operation of the system under the two algorithms is analyzed and compared. The results show that the new hybrid optimization algorithm improZZZes the oZZZerall performance of the system to a certain eVtent， and the parameters haZZZe different degrees of improZZZement， and compared with a single algorithm， it has certain scientific ZZZalidity and adZZZantages， which proZZZides a new ZZZision research method for the algorithm design of the cluster control system.
