ABSTRACT Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …

A software design tool has been developed for optimization of in-core fuel loading pattern by
using a biologically inspired computational search algorithms including Particle Swarm …

Attribute Selection is very important for classification process. This research has been done
by doing attribute selection using PSO method (Particle Swarm Optimization) on SVM …

Particle swarm optimization (PSO) is an artificial intelligence (AI) technique that can be used
to find approximate solutions to extremely difficult or impossible numeric maximization and …

Data mining sering disebut Knowledge Discovery in Database (KDD). Data mining biasanya
digunakan untuk memperbaiki pengambilan keputusan di masa yang akan datang …

The main contribution of this study is to propose a novel optimisation technique for optimal
sizing of hybrid power generation systems (HPGSs). In power system, size optimisation of an …

In order to improve the performance of PSO algorithm, number of its variants has been
made. This paper presents detail overview of the basic concepts of PSO and its variants …

ABSTRACT Markov Weighted Fuzzy Time Series is a forecasting method that applies fuzzy
logic to form linguistic variables from existing data. The formation of linguistic variables …

After the incidence of a disaster, a high demand for first-aid and a huge number of injured
will emerge at the affected areas. In this paper, the optimum allocation of the medical …

Tehnik data mining dapat digunakan dalam berbagai bidang salah satunya dalam aspek
data mining, buat memperkirakan sebuah penyakit dari data rekam medis pasien. Teknik …