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During the recent decade, the tourism industries have evolved evidently and quickly, pushing the bar higher for managers attempting to gain a competitive advantage in this industries. This study applies a combined model that combines the ACF, neural networks, and genetic algorithms for forecasting the tourism demand. Analytical results obtained using the ACF are entered as the input information of...
Electricity energy was wasted greatly for light load and low efficiency of beam pumping unit system used in oil field. So, the vector variable frequency speed regulating technology is studied to adjust the rotational speed of oil-field motor dynamically. So that it can be adjusted according to the load of pumping unit. And closed-loop controller of pumping unit system was designed by adjusting motor...
An accurate product reliability prediction model can not only learn and track the product’s reliability and operational performance, but also offer useful information for managers to take follow-up actions to improve the product’ quality and cost. This study proposes a new method for predicting the reliability for repairable systems. The novel method constructs a predictive model by employing evolutionary...
This paper proposes an effective particle swarm optimization (PSO)-based memetic algorithm (MA) for the permutation flow shop scheduling problem (PFSSP) with the objective to minimize the maximum completion time, which is a typical non-deterministic polynomial-time (NP) hard combinatorial optimization problem. In the proposed PSO-based MA (PSOMA), both PSO-based searching operators and some special...
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