The improvement of enterprise competitiveness depends on the ability to match segmented
customers in a competitive market. In this study, we propose a customer segmentation …

Software testing is one of the most important methods of analyzing software quality
assurance. This process is very time consuming and expensive and accounts for almost …

Velocity limit (VL) has been widely adopted in many variants of particle swarm optimization
(PSO) to prevent particles from searching outside the solution space. Several adaptive VL …

Particle swarm optimization (PSO) has many advantages such as fewer parameters, faster
convergence and easy implementation; however, it is also prone to fall into local optimum …

Accurate aerodynamic parameters are the basis for the research of uncontrolled projectile
drop point dispersion and precise strike. The traditional methods for aerodynamic …

The primary objective of software testing is to locate bugs as many as possible in software
by using an optimum set of test cases. Optimum set of test cases are obtained by selection …

Automatic test case generation (ATCG) is the active research topic in software testing
engineering, which can greatly reduce the cost of software testing. In automated test case …

Cancer refers to a disease in which a group of cells show uncontrolled growth, invasion and
metastasis. Data mining and machine learning are common approaches for clinical …

In the structural software test, test data generation is essential. The problem of generating
test data is a search problem, and for solving the problem, search algorithms can be used …

Path testing is the basic approach of white box testing and the main approach to solve it by
discovering the particular input data of the searching space to encompass the paths in the …