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The shortcomings of traditional serial algorithm on the multi-objective optimization problems are well known for its long computation time and the slow convergence rate, especially when we have complicated computation and large amount of data. To conquer these shortcomings, we propose a parallel multi-objective particle swarm optimization algorithm. Through analyzing the mechanism of multi-objective...
Combined the characteristic of simulated annealing, we propose a multi-objective genetic algorithm based on simulated annealing. We take the advantage of simulated annealing, improve the traditional multi-objective genetic algorithm, and avoid the premature convergence of the algorithm. Experimental results show that the improved algorithm improve the solution efficiency of the traditional multi-objective...
The aim of the study was to evaluate the possibilities of improving the quality and economic efficiency when welding quenched and tempered low carbon low alloy steels with high-spin arc narrow gap MAG system. Mechanical properties of tested welds were excellent, and the amount of welding defects detected by non-destructive testing was very small. The following results were obtained: the welding method...
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