Neutronics optimization calculations have been performed for the tritium breed-ing blankets with solid ceramic breeder Li2O and 1iquid eutectic breeder Lil7Pb83, respectively,based on a 2-D geometrical configuration u...Neutronics optimization calculations have been performed for the tritium breed-ing blankets with solid ceramic breeder Li2O and 1iquid eutectic breeder Lil7Pb83, respectively,based on a 2-D geometrical configuration using the Monte Carlo neutron-photon transport codeMCNP/4B. The effects of beryllium, 6Li enrichment and various structural materials on TritiumBreeding Ratio have been systematically analyzed.展开更多
The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op</span><span style="font-family:Verdana;"&g...The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op</span><span style="font-family:Verdana;">timization problem and a proper predictive maintenance scheduling table sh</span><span style="font-family:Verdana;">ould be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algor</span><span style="font-family:Verdana;">ithm (GA) operators to design this table. The practical experiment shows th</span><span style="font-family:Verdana;">at our model reduces cost while increasing reliability compared to other models previously utilized.展开更多
文摘Neutronics optimization calculations have been performed for the tritium breed-ing blankets with solid ceramic breeder Li2O and 1iquid eutectic breeder Lil7Pb83, respectively,based on a 2-D geometrical configuration using the Monte Carlo neutron-photon transport codeMCNP/4B. The effects of beryllium, 6Li enrichment and various structural materials on TritiumBreeding Ratio have been systematically analyzed.
文摘The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op</span><span style="font-family:Verdana;">timization problem and a proper predictive maintenance scheduling table sh</span><span style="font-family:Verdana;">ould be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algor</span><span style="font-family:Verdana;">ithm (GA) operators to design this table. The practical experiment shows th</span><span style="font-family:Verdana;">at our model reduces cost while increasing reliability compared to other models previously utilized.
