1. 什么是离散粒子群算法? 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... ...
BAGHERI, "Discrete PSO algorithm based optimization of transmission lines loading in TNEP problem", Energy Conversion and Management, pp. 112-121, Elsevier, October 2009H. Shayeghi, M. Mahdavi and A. Bagheri, “Discrete PSO Algorithm Based Optimization of Transmission Lines Loading in TNEP ...
machine-learningalgorithmoptimizationglobal-optimizationoptimization-toolsoptimization-algorithmsparticle-swarm-optimizationpsometaheuristicsdiscrete-optimizationswarm-intelligence UpdatedAug 6, 2024 Python HaaLeo/swarmlib Sponsor Star525 Code Issues Pull requests ...
Implementing a standard PSO algorithm inheriting the abstract class written in Step 1.This means that a particular discrete PSO optimization algorithm will be implemented while inheriting the base class. Writing unit tests and use-case examplesThis is to show how the proposed skeleton and algorithm ...
Johnson. ().A New Discrete Particle Swarm Algorithm Applied to Attribute Selection in a Bioinformatics Data Set, 35-42. 【】A Binary Particle Swarm Optimization for Optimal Placement and Sizing of Capacitor Banks in Radial Distribution Feeders with Distorted Substation Voltages 【】OPTIMAL CAPACITOR ...
It is noteworthy that PSO algorithm has presented the best dynamic response among the studied approaches in literature. Findings – By using the proposed optimization algorithm, the system tracks the reference speed with a very low error. In addition, the discrete mode simulations do not require ...
通过该论文的研究,读者可以深入了解离散粒子群优化算法的基本知识和具体应用,为相关领域的研究工作提供有益的参考。This is my undergraduate thesis about high-performance discrete particle swarm optimization (PSO) algorithm and software development of application on JSSP problem. ...
Besides,theupdateoftheparticle’spositionhasbeenredefined,thentheimproveddiscretePSOalgorithmisusedtosolvetheopti mizationmodel.Thesimulationexamplesdemonstratethattheproposedmethodiseffective,andtheoptimizationresultscansatisfy alltherequestsofthesystem,anditisafeasibleapproachforoptimalsensorplacementforcomplicatedsystems...
To address these issues, this paper proposes a PSO-NMPC control strategy that integrates a particle swarm optimization algorithm (PSO) into the NMPC controller to enhance path tracking for LHDs. To verify the effectiveness of the proposed PSO-NMPC control strategy, the local path of the ...
An implementation of the Particle Swarm Optimization (PSO) algorithm [1,2] in C that can be "plugged into" your code as a small library. PSO is used for problems involving global stochastic optimization of a continuous function (called the objective function). PSO can also be used for disc...