Multidistribution Center Location Based on Real-Parameter Quantum Evolutionary Clustering Algorithm

Recent Advances in Real-Parameter Evolutionary Algorithm

A quantum evolutionary algorithm for data clustering

The emerging field of quantum computing has recently created much interest in the computer science community due to the new concepts it suggests to store and process data. In this paper, we explore some of these concepts to cope with the data clustering problem. Data clustering is a key task for most fields like data mining and pattern recognition. It aims to discover cohesive groups in large d...

Optimal Location and Parameter Settings of UPFC Device in Transmission System based on Imperialistic Competitive Algorithm

In this paper, we present a new method to determine the optimal location and parameter settings of UnifiedPower Flow Controller (UPFC) for removing voltage violations and transmission lines overloading. UPFC isconsidered as the most powerful member of the FACTS devices, that it can control shunt and series power flow.This option gives to UPFC the power to control the voltage profile and transmi...

A New Real-Coded Quantum Evolutionary Algorithm

The traditional quantum evolutionary algorithms can achieve excellent results in the optimization of multi-peak function. However, they are easy to be trapped to prematurity. In this paper, a new real-coded quantum clone evolutionary algorithm is proposed based on the concepts and principles of quantum evolutionary algorithms in order to improve the efficiency. Firstly, a new real-coded triploi...

Improvement of density-based clustering algorithm using modifying the density definitions and input parameter

Clustering is one of the main tasks in data mining, which means grouping similar samples. In general, there is a wide variety of clustering algorithms. One of these categories is density-based clustering. Various algorithms have been proposed for this method; one of the most widely used algorithms called DBSCAN. DBSCAN can identify clusters of different shapes in the dataset and automatically i...