Abstract: In this paper we propose a clustering method based on combination of the particle swarm optimization (PSO) and the k-mean algorithm. PSO algorithm was showed to successfully converge during ...

Abstract: Clustering is an important research topic in data mining that appears in a wide range of unsupervised classification applications. Partitional clustering algorithms such as the k-means ...

An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.

The primary objective of this project is to develop a robust path planning solution for transport UAVs operating in low-altitude environments with complex terrain and obstacles. The algorithm is ...

该代码根据DEPONTES2022中提到的粒子群优化算法(PSO)，然后使用了GA-generator的代码作为代码基础（关键原来的马里奥AI ...

ABSTRACT: Based on the modeling of robot working environment, the shortest distance matrix between points is solved by Floyd algorithm. With the objective of minimizing the sum of the fixed cost of ...