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Radio frequency identification is applied to the indoor location system of store environment in the paper. According to the radio frequency communication signal time difference between reader and merchandise tag, it can be easy to measure goods spatial position. In the research, we use smoothing method to construct the original measured data to degrade NLOS error. Then improved genetic algorithm is...
Computational grids have become attractive and promising platforms for solving large-scale high-performance applications of multi-institutional interest. However, the management of resources and computational tasks is a critical and complex undertaking as these resources and tasks are geographically distributed and a heterogeneous in nature. This paper proposes a novel Rank Based Genetic Scheduler...
This paper deals speed control of a DC motor using fractional-order control. Fractional calculus provides novel and higher performance extensions for fractional order proportional integral and derivative (FOPID) controller. In this paper, the parameters of the FOPID controller are optimally learned by using Genetic Algorithm (GA), and the optimization performance target is chosen as the integral of...
In this paper, with interfloor traffic condition, the optimal zoning elevator group control strategy is studied aiming at energy saving. First, the energy consumption data of an elevator is analyzed and the energy consumption model is constructed. Then, the optimal zoning strategy for energy saving is designed and solved by genetic algorithm. In this algorithm, the energy conservation and the variance...
In order to take the effective measure to jam the enemy's navigation system, GPS jamming shells, as the latest type of the jamming equipment, is widely used recently. In the process of the application of navigation interference, a number of GPS jamming shells are usually distributed to cover the target area without any vacancy, but it's a complex problem to distribute the shells to use the least quantities...
The Crane-umbrella Communication Jammer has become an important communication jamming equipment. During the interference process, the single jammer can cover a circular area and multiple jammers can be distributed to cover the target area without any vacancy, but it's a complex problem to distribute the jammers to use the least quantities of jammers, cover the maximal area and receive the signals...
According to the combustion control system of industry boiler with large time delay and nonlinear, a kind of combustion system of industry boiler based on GA PID neural network controller design method is proposed in this paper. The boiler model is given and the comparison is made between GA PID neural network controller and the traditional PID controller. The simulation results indicate that the...
Because of the strong non-linearity and uncertainty, the dynamics restraints of autopilots, as well as the effects of wave disturbances, designing a high performance ship course controller is always a difficult work. In order to solve the difficulty, an active disturbance rejection nonlinear control strategy is proposed, and the genetic algorithm is used to modify parameters of ADRC online which improve...
Electric power steering system model was set up in this thesis. The mixed H2/H∞ state feedback controllers with robustness and better system performance are designed through making H∞ controllers have H2 optimization by GA. In this method, the coding is float, the selection operator is rank-based fitness assignment and elitist model, the crossover operator is real valued recombination, and the mutation...
To improve the precision of the function prediction, an effective optimization approach is proposed, where genetic algorithm (GA) and self-adaptive particle swarm optimization algorithm are hybridized to enhance the searching ability. Simulation results have shown that the hybrid scheme is effective and efficient for the function prediction.
With the informationization of mechanical devices, high precision sensors have been widely applied to all kinds of mechanical devices for the information gathering. However, as the sensors are produced by various research centers and manufacturers, there is a considerable difficulty in examining and identifying the sensors. In this article, A new intelligent analysis model based on BP+GA algorithms...
In this paper a new concept for the layout of hybrid-electric-powertrains is developed that includes optimization of the component-sizes as well as control strategies. In contrast to most existing publications, the approach explicitly considers the conflicting goals of low fuel consumption and high vehicle longitudinal dynamics and the trade-off is quantified. Two multiobjective optimization subproblems...
Manufacturers have to make dexterous supply plans in order to cope with the demand fluctuations. The demands will change day to day, and also the predicted demand values should be modeled by stochastic variables. Under these uncertain demand conditions, we formulate product supply planning into multi-objective problem pursuing profit maximization and risk minimization. We will propose a method that...
This paper proposes a finite-impulse response (FIR) based UWB transmitter. The pulse is optimized by genetic algorithm (GA) with the power spectral efficiency of 74%. The injection-locking technology for jitter reduction with loop filtering and phase filtering is discussed which significantly reduces the amount of jitter in high frequencies. By using the genetic algorithm, the optimal FIR pulse could...
Traffic flow control optimization in the traffic light systems is studied for improvement in this paper. Traffic light systems are built to control the traffic flows at the intersections to ensure the fluency of traffic flow within the traffic network. The increasing traffic flows that cannot be supported by the current traffic light systems cause lengthen of queue length at the intersection. The...
In this paper we describe an evolutionary method for the optimization of type-2 fuzzy systems based on the level of uncertainty. The proposed evolutionary method produces the best fuzzy inference systems (based on the memberships functions) for particular applications. The optimization of membership functions of the type-2 fuzzy systems is based on the level of uncertainty considering three different...
Due to the rotor position of switched reluctance motor (SRM) is a highly nonlinear function of stator windings current and flux linkage, so general linear and analytical methods are difficult to achieve precision results, in the paper, a method is presented that a genetic RBF neural network (RBFNN) is used to rotor position sensorless detection of SRM. Hence, extensive mapping ability of neural network...
In continuous non-revisiting genetic algorithm (cNrGA), the solution set with different order leads to different density estimation and hence different mutation step size. As a result, the performance of cNrGA depends on the order of the evaluated solutions. In this paper, we propose to remove this dependence by a search space re-partitioning strategy. At each iteration, the strategy re-shuffles the...
Adversarial decision making is aimed at finding strategies for dealing with an adversary who observes our decisions and tries to learn our behaviour pattern. This contribution extends a simple mathematical model with strategies that vary along time, and motivates the use of heuristic search procedures to address the problem of finding good strategies within this new search space. The evaluation of...
In recent years, genetic algorithm (GA) and interactive genetic algorithm (IGA) are usually used for the sound generation process in the field of computer music. However, it is difficult to just handle these methods directly for the music composition. In this research we have already proposed a music composition system based on the Twelve-tone Technique which uses twelve notes of the chromatic scale...
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