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Most real-world optimization problems are dynamic in nature. To deal with the optimization problems in a dynamic environment, a general framework inspired from immune system is proposed. Three types of subpopulations mimicking the states of B-cells are introduced. Among them, innate population globally explores the promising area, while adaptive population locally searches the optima, and the memory...
This paper proposes an artificial immune system based algorithm for solving constrained optimization problems, inspired by the principle of the vertebrate immune system. The analogy between the mechanism of vertebrate immune system and constrained optimization formulation is first given. The population is divided into two groups- feasible individuals and infeasible individuals. The infeasible individuals...
Outlier detection is an interesting data mining task, which detects rare events. This paper focuses on the method of outlier detection based on frequent pattern (FP method for short). First we analyze the drawback of this method, and then an improved method (LFP method for short) has been presented. Finally, we evaluate the two methods by using several datasets and the experiment results show that...
This paper proposes a new global optimization technique in which combines population migration algorithm (PMA) and radial basis function (RBF) neural networks learning algorithm for training RBF neural network. Compared with the traditional RBF training algorithm, the simulation results show that the method has a higher accuracy in a stringency and works well in avoiding sticking in local minima.
Based on analyzing the four kinds of faults (over-load, short-circuit, open-phase and electrical leakage) with their characteristics and studying protection principle of mineral motor, the design scheme of intelligent and synthetic protection device using DSP as the chief chip is presented. According to the requirements of system operation, hardware circuits including leakage protection and voltage...
Population migration algorithm is proposed in recent years, it's a new search algorithm for global optimization that mainly simulates population transition mechanism, so far, and there was no unified framework to describe this algorithm. This paper describes the population migration algorithm based on a given framework of swarm intelligence, it helps to understand the principles of the population...
The performances of the airborne actuator directly affect the qualities of the flying machine. The coordinated control actuator system of the motor-pump-valve parallel connection has predominant characteristics comparing with other actuator systems of coordinated control. The motor-pump-valve actuator system is a combinational optimization problem of coordinated control, for the system has three adjustable...
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