智能算法-遗传算法、蚁群算法、粒子群算法实现。实现版本Java,Python,MatLab多版本实现

PSO-Clustering algorithm [Matlab code]

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

基于粒子群优化的神经网络PID控制

Spherical Vector-based Particle Swarm Optimization

This script implements the hybrid of PSO and GWO optimization algorithm.

Motion-Encoded Particle Swarm Optimization Algorithm

记录计算智能优化算法的学习笔记，通过阅读论文并复现的形式加深对相关的启发式智能优化的理解。

Multi-Objective PSO (MOPSO) in MATLAB

PSO Application

Visualizing Particle Swarm Optimization on Wireless Sensor Network

Code for “MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection“--[IEEE Transactions on Knowledge and Data Engineering (TKDE 24)]

Project of Fourth Semester Second Year

MODPSO code for paper "Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition"

The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optim…

Particle Swarm Optimization (PSO) in MATLAB

The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…

Application of Particle Swarm Optimization (PSO) in the feature selection tasks.

Using heuristic methods implemented in Matlab and in Python to solve the optimisation problem proposed by N. Order in the priority list [N. Order, Phalanx42, 23 (2009)] and a cubic graph modeled as quadratic Knapsack Problem to investigate the scabilability of the algorithms