Clustering techniques have received attention in many fields of study such as engineering,
medicine, biology and data mining. The aim of clustering is to collect data points. The K …

System reliability analysis and optimization are important to efficiently utilize available
resources and to develop an optimal system design architecture. System reliability …

This paper introduces an improved evolutionary algorithm based on the imperialist
competitive algorithm. The original approach in the imperialist competitive algorithm has …

Clustering is a process for partitioning datasets. This technique is very useful for optimum
solution. k-means is one of the simplest and the most famous methods that is based on …

Clustering is a process for partitioning datasets. Clustering is one of the most commonly
used techniques in data mining and is very useful for optimum solution. K-means is one of …

Bankruptcy filings are as high today as ever, calling into question the efficacy of existing
bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy …

The increasing willingness to travel as well as the increasing number of airlines create a
strong competitive market in the air transport industry. In such circumstances, paying …

This study tries to enhance imperialist colony algorithm (ICA) in the context of travel
salesman problem (TSP). By adding new learning operator, imperialist learns from colonies …

Template matching is a widely used technique in many of image processing and machine
vision applications. In this paper we propose a new as well as a fast and reliable template …

Template matching is a widely used technique in many of image processing and machine
vision applications. In this paper we propose a new as well as a fast and reliable template …