abbr.Allied Petroleum Service Organization 欧洲联合石油服务组织;Assistant Polaris Systems Officer 北极星系统长官助理;audio precision system one 音频精密系统测试设备
Apso 的用法和双语例句“点击”或“选中”例句中的单词,就可以看到词义解释
A hybrid algorithm , APSO , was proposed by combining particle swarm optimization ( PSO ) with Alopex algorithm that is a stochastic optimization method , for solving constrained optimization problems .
To overcome premature of multi-modal function search by standard particle swarm optimization ( SPSO ) algorithm , a new adaptive particle swarm optimization ( APSO ) based on feedback mechanism was proposed .
According to the relationship between the control parameters and the fitness value of particles , APSO adjusts parameters adaptively in optimization process to find the global optimum based on some heuristic rules .
A linear function relationship between inertia weight and average-distance-amongst-points was established through analyzing the dynamic relationship between inertia weight value and population diversity , and this functional relationship was embedded into APSO .
Speaking of the other dogs in his litter of Chihuahua Lhasa Apso crosses , \' They are all so boisterous , but he is just too small to be boisterous , hes just an energetic loving pup .
说起吉娃娃和拉萨阿普索犬的杂交犬,它们都很欢实,但这只太小了折腾不起来。但是它仍然很有精力。
The simulation analyzes the change tends of cost , delay , delay jitter , and network scale of APSO algorithm . And the multicast trees of the traditional GA algorithm and the standard PSO algorithm are compared . 2 .
APSO can accelerate the convergence rate of optimization approach , and obtain optimal processing parameters using the least computational costs.The Multi-Objective optimization method is discussed . The Multi-Objective optimization approach which is based on surrogate model , CAE is proposed .
A new control strategy was proposed based on adaptive particle swarm optimization ( APSO ) for multi-models of the grouting pressure control system.On the basis of pressure soft sensing , a hybrid control strategy was proposed , which the controller parameters were optimized by APSO on multi-model of control system .
The testing results indicate that APSO has better probability of finding global optimum , accuracy and speed of convergence than SPSO when APSO is applied to the solution of exclusive OR ( XOR ) classification problem , and that APSO is more efficient in training neural networks than in that of SPSO .
Introducing satisfactory optimization function and traditional multi-criterion optimization method , a multi-criterion satisfactory optimization strategy ( MAPSO ) is proposed based on APSO , substituting “ satisfactory solution ” for “ optimal solution ” . The satisfactory strategy can give attention to the incompatible criterions under the condition of valid solution or minor valid solution .