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Cooperative coevolution framework is an effective strategy to deal with large scale optimization problems. However, most studies on cooperative coevolution framework utilize the same optimizer for all subcomponents, which may not be effective enough. In this paper, we propose a novel multi-optimizer cooperative coevolution method for large scale optimization problems which randomly chooses an optimization...
This paper introduced a new way which utilizes genetic algorithm to optimize neural network weights. And we have worked out the algorithm on ARCGIS and MATLAB platform. Meanwhile, a comprehensive evaluation of environment carrying capacity on Jiulong county has been carried out. The findings and results show that this method can provide a new way to evaluate geological environment, because it can...
Failure depth of coal seam floors is one of the important considerations that must be kept in mind when mining is carried out above a confined aquifer. In order to study the factors that affect the failure depth of coal seam floors such as mining depth, coal seam pitch, mining thickness, workface length and faults, we propose a combined artificial neural networks (ANN) prediction model for failure...
Reducing energy consumption has become one of the most important challenges in designing computing systems. Dynamic power management policies exploit components' idle periods to save energy. If one idle period of some component is long enough, the component can be put into low power state during this period in order to reduce energy consumption. Many dynamic power management policies are based on...
Reducing energy consumption has become one of the most important challenges in designing computing systems. Dynamic power management policies exploit components' idle periods to save energy. If one idle period of some component is long enough, the component can be put into low power state during this period in order to reduce energy consumption. Many dynamic power management policies are based on...
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