Algorithm Design with Pseudo Code and Parameterspython # PSO Algorithm for 16-Queen Problem # Parameters num_queens = 16 num_particles = 30 max_iter = 10000000 c1 = 2.0 c2 = 2.0 w = 0.7 # Initialize population and velocities initialize_population() initialize_velocities() # Main PSO loop ...
The rest of the paper is organized as follows: section "Controller design based on improved NMPC algorithm" describes the vehicle model used in the controller, performs a stability analysis, and discusses existing issues. Section "Optimal design of PSO to NMPC objective function weight matrices" ...
普通粒子群算法(Particle Swarm Optimization Algorithm,PSO)的粒子初始位置、更新速度都是连续函数,与之对应,位置和速度更新均为离散值的算法是离散PSO算法(Discrete Particle Swarm Optimization Algorithm, DPSO); 一般就是在跟新粒子位置后,对粒子进行离散点处理; 比如... 查看原文 计算智能--生物人工智能之粒子群...
(MUD) of multiple receive antennas code division multiple access (SIMO MC-CDMA), named 1-opt local search (1-LS), particle swarm optimization (PSO and woPSO), genetic algorithm (GA), simulation annealing (SA) and Tabu search (RTS and STTS) heuristic algorithms (Heur) in a single- ...
N is the number of total iterations that the algorithm needs to run. The standard PSO will not stop until the termination criteria are satisfied. Pseudo code of standard PSO is given in the following. Standard PSO algorithm Set the generation counter Gen = 0 /*Initialization*/ Generate ...
For this work, we used the PSO with an inertia factor, which causes the algorithm to reduce the speed increase with the iterations so that the PSO starts to focus more on a local search at the end of its execution. Algorithm 1 shows the pseudo code of the algorithm used. The velocity ...
The S-DATE algorithm is the pseudo-code for the proposed approach. The proposed approach needs input data in numerical form, which will pass through the Min-Max scaler. Min-Max scalar will do normalization of data between {0,1} range by preserving the original distribution of the data but ...
Pseudo-code for CDEPSO 3.4. Complexity Analysis The most computationally expensive stage of CDEPSO is the search for the nearest pair of genomes in the QUEST population. Therefore, the complexity of the algorithm can be estimated using the number of Euclidean distances between genomes. Assuming ...
This approach has been discussed in section "Controller design based on improved NMPC algorithm". As illustrated in Eq. (26) and the pseudo code, PSO entails the selection of specific parameters. For instance, cth1 easnedcco2efrfeipcireenstesntbtehseestetlof-caovganliutieveofan2d. social...
In order to obtain high-density regions in a given dataset, the PSO-based clustering algorithm is applied on each class. The pseudo code for this algorithm is shown in Algorithm 1. It takes a number of clusters (K) as input and output best K cluster positions using the training dataset....