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Byproduct gas is an important secondary energy in steel plant, and the reasonable use of byproduct gas has a great significance. For the byproduct gas real-time scheduling problem in a steel plant in China, a hybrid genetic algorithm based scheduling method is proposed in this study. First, this method takes into account the differences of the scheduling units of gas consumption and the nonlinear...
It is an objective fact that large database has inconsistent data. This paper presents a new rule acquisition method based on rough set theory and genetic algorithm. Using rough set theory, we will divide inconsistent data table into two parts, certain data and possible data, and then standard genetic algorithm is used for mining rules set. When the algorithm is processing, the user is allowed to...
The execution process is critical to the success of a software outsourcing service. It defines the major roles and activities involved in delivering the outsourced software. This paper presents a process-oriented software outsourcing decision approach, which helps a client selecting appropriate vendors and defining the execution process that both the client and the vendors should comply with during...
In this paper, linking with the basic principle of FCM algorithm, on the basis of theory research, a method of the cluster analysis that FCM and the genetic algorithm are combined together is proposed. Firstly, the approximate optimal solution obtained by the genetic algorithm is taken as the original value of the FCM algorithm, then carrying on the local search to obtain the global optimal solution,...
In order to get good SAR-GMTI (Synthetic Aperture Radar-Ground Moving Target Indicator) result, two pictures are demanded to be like at sub-pixel with registration method. This paper proposes a new image registration method, which combine genetic algorithm with traditional image registration algorithm, it uses Fourier algorithm in the pixel image registration, and combine genetic algorithm with amplitude...
This parameters selection is an important issue in the research of ??-support vector regression machine (??-SVRM), whose nature is an optimization selection process. Motivated by the effectiveness of differential evolution (DE) algorithm on optimization problem, a new automatic searching method based on DE algorithm was proposed. Experimental results demonstrate that ??-SVRM model optimization based...
Expert assignment is chief and basic work of project review in project management. So it is significant to research how to solve expert assignment problem (EAP). In previous papers, we established the mathematical model of expert assignment problem, and proposed genetic algorithms (GAs) to solve EAP. Though it has been proven GAs are effective ways for EAP, they have disadvantages of slow convergence...
For effects of the parameters of fuzzy controller with nonlinear scaling factors on a system's performance and the parameters are interactive, this paper proposes a parameters self-adaptive fuzzy controller based on genetic algorithm (GA). Simulation results show that the proposed fuzzy controller has better dynamics and static property. When the parameters or structure of plant is changed, the presented...
For effects of the parameters of fuzzy controller with nonlinear scaling factors on a system's performance and the parameters are interactive, this paper proposes a method based on genetic algorithm (GA) to tune and optimize the parameters. Simulation results show that system which adopted the parameters derived from the method has better dynamics and static property. When the parameters or structure...
Expert assignment is chief and basic work of project review in project management. So it is significant to research how to solve expert assignment problem (EAP). In previous papers, we established the mathematical model of expert assignment problem, and proposed genetic algorithm (GA) and GA using heuristic mutation guide by pheromone (HMP) to solve EAP. Though it has been proven GA and HMP are effective...
Content-based image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their low-level features. How to effectively find the semantic meanings of images is a central challenge in the area. In this paper, we propose an interactive platform for region-based image clustering and retrieval. A genetic...
Genetic algorithm offers the common frame of resolving optimization problem by imitating biological evolution based on natural selection. However it has some drawbacks such as slow convergence and being premature. In genetic algorithm, individual generated by genetic operation is a bit random and even sometimes more inferior than its parents. So a new operator - negative selection that can filtrate...
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