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Finding an optimal configuration for the number of worker processes and executors for a Storm topology is imperative for maximizing its performance. However, this process is both tedious and time-consuming due to the vast number of parameters to tune, their intertwined relationship with each other, and the temporal overhead of simply rebalancing a topology with a new set of configuration parameters...
Design of multi-component structures can be a challenging task. While having multiple components in a complex structure is often necessary in order to reduce the manufacturing cost, multiple components need joining operations. Optimal design of joints is not a decoupled problem from designing the base structure, and often comes at balancing trade-offs in assembly cost, weight and structural performance...
The parallel genetic algorithms implementation for neural networks models construction is discussed. The modification of this global optimization algorithm is proposed. The artificial neural networks are effective instrument to solve most problems of technological objectives and processes modelling. The article describes the aspects of genetic algorithms implementation for neural networks structure-parametric...
In this paper, a multi-objective programming model for optimizing the topology of a practical industrial network control systems is established on the basis of the analysis of IP packets through each link, and then solved by Genetic Algorithm(GA). To ensure the effectiveness of GA, this paper proposes an individual coding scheme and its valid criterion, designs a set of specific genetic operators...
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