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In concern with the slow-convergence disadvantage of GA, PSO is combined with GA in this paper for a load distribution optimization among turbine-generators. By comparison with GA method, it is shown that PSO-GA is better than the GA method in the aspect of calculation speed, bearing excellent stability and fast convergence.
The hanger is a critical part of arch bridges which decides the security of the bridge. The tension of hanger is the major parameter to evaluate the structural behavior during the health monitoring. Besides, the damper which used for reducing the vibration significantly affects the tension of hanger. The flexural rigidity and damping stiffness should be considered in order to get accurate tension...
In this paper, a dual-resource constrained job shop scheduling problem was studied. According to the information processing mechanism of an immune system in biotic science, a new immune Genetic Algorithm for flexible job shop scheduling through combining immune algorithm with genetic algorithm was proposed. The algorithm can effectively avoid the premature convergence problem caused by the high selective...
Battlefield electromagnetic environment has become more and more complex under the background of information war. Strong interfering signals have seriously affected the quality of communication and reliability of information. To weaken or even eliminate the effect of the unwanted signal to the wanted one, genetic algorithm (GA) is utilized to optimize element current amplitudes in obtaining the needed...
Genetic algorithm (GA) is applied to select main affecting factors of coal and gas outburst to solve the over-fitting problem of BP neural network (NN) in predicting coal and gas outburst, and a modified BP NN predictor is established, which input variables are the factors selected. In our GA, chromosome is a binary encoding which each gene corresponds to a variable, penalty function is introduced...
This paper proposes the unit commitment problems which can be solved by the improved Genetic Algorithm (GA). In this improved GA, the variables of the unit commitment problems are charged into the Genetic operators by binary coding. The best individual reserve is to be proposed and can be used in the genetic operating. This paper utilizes C++ language compilation to compare the two different 6-unit...
The objective of this research is to propose a new and practical LQG control method for the vehicle active suspension. The novelty lies in optimizing the LQG controller without road input signal for the active suspension to improve practicability of LQG control method. Taking a quarter-vehicle model as an example, the control parameters of LQG controller without road input signal for the active suspension...
Active Disturbance Rejection Control (ADRC) method is used as auto speed regulator (ASR) to improve the dynamic performance of cascade control for winding motors in double closed loop control system. In order to optimize the numerous parameters of ADRC, an optimizing objective function is proposed, which is based on the error integral criteria and considered the static and dynamic characteristics...
This paper studies the job-shop scheduling problems of multi-process routes with fuzzy processing time and fuzzy due date, and establishes a fuzzy scheduling model to reach the optimization goals of maximum average satisfaction index. Then a co-evolutionary algorithm combined with genetic algorithm and discrete particle swarm optimization algorithm is presented, which improves the chromosome encoding...
Parameters of ball mill load (ML) affects production capacity and energy consumption of the grinding process, which have stronger correlation with shell vibration spectrum. A novel spectral features extraction and selection approach combined with empirical mode decomposition(EMD), power spectral density(PSD), kernel principal component analysis(KPCA), genetic algorithms(GA) and partial least square(PLS)...
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