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In recent years, the serious situation of Russian population causes concerns of the government, which also attracts great attentions of researchers from all over the world. The research on Russian population can help the government to make positive policies for solving the crisis and boosting economic growth. In this paper, implicitly considering almost all factors that influence population development,...
Lotka-Volterra equations describe the population relationship between two species, i.e., predator and prey. In many circumstances, it is necessary to introduce a control method into such a predator-prey system. Different from traditional methods, by applying Zhang-gradient (ZG) method and using interaction coefficients of Lotka-Volterra equations as inputs, the population control problem of the predator-prey...
Several kinds of sensors would be widely deployed with the development of the Internet of things (IoT). Each IoT information service provides individual sensory data. When a complex service request is submitted, composing multiple information services to satisfy customer's comprehensive demands efficiently becomes an important research issue. To address the issue of IoT information service composition,...
Identifying network traffics at their early stages accurately is very important for network management and security. Recent years, more and more studies have devoted to find effective machine learning models to identify traffics with the few packets at the early stage. In this paper, we design a Hierarchical Radial Basis Function network (HRBF) model based on our previous works, and then we apply...
Financial time series forecasting has attracted substantial attention among data mining community for many years. However, achieving a reasonable accuracy in forecasting is a difficult task and extremely challenging for the researchers. Investors often use technical indicators to analyze stock market tendency and make decisions. In this paper, a new method called RPRS for stock forecasting is presented...
QoS-driven Service Selection (QSS) problem can be modeled as an optimization problem which possesses multiple objectives. The QSS problem is a NP-hard problem in the combinatorial optimization field. The existing approaches for solving this problem are inefficient for multi-objective scenarios. To address the multiple objective scenario, we propose an interactive evolutionary multi-objective optimization...
Proportional Integral Derivative (PID) controller is commonly used in process control systems. Tuning PID controller parameters are a very challenging problem to improve performance and stability of a process. This paper presents a novel method for PID controller tuning problem using Linearized Biogeography-Based Optimization (LBBO) algorithm. Biogeography-Based Optimization (BBO) is an evolutionary...
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