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Dynamic Routing Combined to Forecast the Behavior of Traffic in the City of Sao Paulo Using Neuro Fuzzy Network 被引量:2
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作者 Ricardo Pinto Ferreira Carlos de Oliveira +1 位作者 Affonso Renato Jose Sassi 《Computer Technology and Application》 2011年第1期36-41,共6页
The challenge of keeping and getting new customers drives the development of new practices to meet the consumption needs of increasingly tends to micro-segmentation of product and consumer market. The new consumption ... The challenge of keeping and getting new customers drives the development of new practices to meet the consumption needs of increasingly tends to micro-segmentation of product and consumer market. The new consumption habits of brazilians brought new prospects for market. The objective of this paper is to develop of a dynamic vehicle routing system supported by the behavior of urban traffic in the city ofSao Paulo using Neuro Fuzzy Network. The methodology of this paper consists in the capture of relevant events that interfere with the flow of traffic of the city of Sao Paulo and implementation of a Fuzzy Neural Network trained with these events in order to foresee the traffic behavior. The system offers three labels of hierarchical routing, thus is possible to consider not only the basic factors of routing, but too external factors that directly influence on the flow of traffic and the disruption which may be avoided in large cities, through alternative routes (dynamic vehicle routing). Predicting the behavior of traffic represents the strategic level routing, dynamic vehicle routing is the tactical level, and routing algorithms to the operational level. This paper will not be discussed the operational level. 展开更多
关键词 Traffic behavior dynamic vehicle routing neuro fuzzy network fuzzy logic.
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Simulation approach for optimal design of vacuum cooling on broccoli by simulated annealing technique
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作者 Ding Tian W.A.L.Alves +4 位作者 S.A.Araujo J.C.C.Santana Ling Jiangang Chen Jianchu Liu Donghong 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2014年第5期111-115,共5页
Water-spraying is regarded as an effective method to reduce the weight loss of product during vacuum cooling process.This study aimed to investigate the effect of vacuum cooling factors on the weight loss of postharve... Water-spraying is regarded as an effective method to reduce the weight loss of product during vacuum cooling process.This study aimed to investigate the effect of vacuum cooling factors on the weight loss of postharvest broccoli,and attempted to optimize the treatment conditions by simulated annealing(SA)technique.An algorithm based on simulated annealing meta-heuristic technique was developed to identify the optimum condition for vacuum cooling treatment of broccoli.Results demonstrated that the SA algorithm could adjust well with the simulation of the broccoli cooling process.The best condition was at 200 Pa of pressure,274 g broccoli,6% of water volume and 40 min processing time.Under this condition,a product with only 0.35% of weight loss and 1.48℃ final temperature was obtained.The developed method may help to effectively control the weight loss during vacuum cooling process and reducing the economic loss. 展开更多
关键词 BROCCOLI vacuum cooling simulated annealing OPTIMIZATION
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