Mutual funds have become the most popular products for diversity of investment, since they are able to disperse investment risks to the smallest degree. In selecting mutual funds, the past performance of funds plays a central role in the expectations of the future performance of funds. In 2008, the U.S. sub-prime broke out; numerous investors lost more than half of the capitals donated. Therefo...

Monitored and diagnosed the machinery equipment by the fault diagnosis technology can find machine malfunctions in time and prevent the equipment’s worst accident from occurring, so that it can avoid casualties, environmental pollution and enormous economic losses. Applied the fault diagnosis technology can find the potential causes in the process of producing equipment, so that eliminate poten...

In this article, we discuss a method for testing policies that guide groups of agents in simulations for interactions with other agents and the environment that reveal weaknesses of these policies. Our method is based on learning interaction sequences using particle swarm systems and has as one crucial component so-called goal ordering structures that are used to guide the learning towards weak...

a School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, PR China b School of Computer, China University of Geosciences, Wuhan 430072, PR China c Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Oshawa, ON, Canada L1H 7K4 d Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen ...

An identification method for determination of the parameters of the rheological models of dampers made of viscoelastic material is presented. The models have three or four parameters and the model equations of motion contain derivatives of the fractional order. The results of experiments are approximated using the trigonometric function in the first part of the procedure while the model paramet...

The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though the algorithm, which is based on a metaphor of social interaction, has been shown to perform well, researchers have not adequately explained how it works. Further, traditional versions of the algorithm have had some undesirable ...

This article presents a new face tracking algorithm that employs a swarm-intelligence based method particle swarm optimisation (PSO). Firstly, all potential solutions are projected into a high-dimensional space where particles are initialised. Then, particles are driven by PSO rules to search for the solutions. The face is tracked when the particles reach convergence. Furthermore, a multi-featu...

The standard particle swarm optimization (PSO) algorithm allocates the total available budget of function evaluations equally and concurrently among the particles of the swarm. In the present work, we propose a new variant of PSO where each particle is dynamically assigned different computational budget based on the quality of its neighborhood. The main goal is to favor particles with high-qual...

The Dempster-Shafer (D-S) theory is an excellent method of information fusion. Because of the difference which is caused by the sensors, it is essential to deal with the evidence with a method of weighed D-S theory. The new method to deal with data fusion based on improved D-S theory has been proposed, and set up the concept of weight of sensor evidence itself and evidence distance based on a q...