This paper introduces a multi-agent system which i nt egrates process planning and production scheduling, in order to increase the fle xibility of manufacturing systems in coping with rapid changes in dynamic market a...This paper introduces a multi-agent system which i nt egrates process planning and production scheduling, in order to increase the fle xibility of manufacturing systems in coping with rapid changes in dynamic market and dealing with internal uncertainties such as machine breakdown or resources shortage. This system consists of various autonomous agents, each of which has t he capability of communicating with one another and making decisions based on it s knowledge and if necessary on information provided by other agents. Machine ag ents which represent the machines play an important role in the system in that t hey negotiate with each other to bid for jobs. An iterative bidding mechanism is proposed to facilitate the process of job assignment to machines and handle the negotiation between agents. This mechanism enables near optimal process plans a nd production schedules to be produced concurrently, so that dynamic changes in the market can be coped with at a minimum cost, and the utilisation of manufactu ring resources can be optimised. In addition, a currency scheme with currency-l ike metrics is proposed to encourage or prohibit machine agents to put forward t heir bids for the jobs announced. The values of the metrics are adjusted iterati vely so as to obtain an integrated plan and schedule which result in the minimum total production cost while satisfying products due dates. To deal with the optimisation problem, i.e. to what degree and how the currencies should be adj usted in each iteration, a genetic algorithm (GA) is developed. Comparisons are made between GA approach and simulated annealing (SA) optimisation technique.展开更多
The Regulations on the Management of Human Genetic Resources, which will come into force on July 1, will strengthen the management of human genetic resources and encourage their rational use.The document issued by the...The Regulations on the Management of Human Genetic Resources, which will come into force on July 1, will strengthen the management of human genetic resources and encourage their rational use.The document issued by the Chinese Govemment, stipulates the management of Chinese human genetic resources, including their collection, preservation, utilization, as well as the provision of such resources in China to overseas parties.展开更多
On July 29,the 5-day llth International Conference on Grapevine Breeding and Genetics(Grape Conference)was held in Yanqing County of Beijing with two mascots"apu"and"atao"standing at the conference...On July 29,the 5-day llth International Conference on Grapevine Breeding and Genetics(Grape Conference)was held in Yanqing County of Beijing with two mascots"apu"and"atao"standing at the conference venue.Held every four years,the Conference has been held for ten times so far.As the world’s top-level and most influential academic and technological communication platform for grapevine genetics and breeding,the Conference attracts participants from as many countries as possible.This year展开更多
输电导线弧垂是导线运行的重要参数,影响电网的安全稳定运行。为实现导线弧垂的准确监测,提出基于导线工频电场(power frequency electrical field,PFEF)逆运算的弧垂计算方法。首先根据悬链线方程,基于有限长线电荷建立导线工频电场的...输电导线弧垂是导线运行的重要参数,影响电网的安全稳定运行。为实现导线弧垂的准确监测,提出基于导线工频电场(power frequency electrical field,PFEF)逆运算的弧垂计算方法。首先根据悬链线方程,基于有限长线电荷建立导线工频电场的三维计算模型。然后根据导线下方工频电场的实时测量数据,在三维电场模型下利用遗传算法(geneticalgorithm,GA)反演得到导线的最大弧垂。考虑电场测量数据受外界环境因素和测量条件的影响,采用最小二乘支持向量机(least squares support vector machine,LS-SVM)建立导线原始测量数据的环境因素修正模型,使修正后的测量数据逼近理想条件下的数据。将修正后的电场测量值作为反演模型的目标参考值,进一步提高弧垂的计算精度。对比银川地区某条典型输电导线的测量数据,验证了该算法的有效性。展开更多
文摘This paper introduces a multi-agent system which i nt egrates process planning and production scheduling, in order to increase the fle xibility of manufacturing systems in coping with rapid changes in dynamic market and dealing with internal uncertainties such as machine breakdown or resources shortage. This system consists of various autonomous agents, each of which has t he capability of communicating with one another and making decisions based on it s knowledge and if necessary on information provided by other agents. Machine ag ents which represent the machines play an important role in the system in that t hey negotiate with each other to bid for jobs. An iterative bidding mechanism is proposed to facilitate the process of job assignment to machines and handle the negotiation between agents. This mechanism enables near optimal process plans a nd production schedules to be produced concurrently, so that dynamic changes in the market can be coped with at a minimum cost, and the utilisation of manufactu ring resources can be optimised. In addition, a currency scheme with currency-l ike metrics is proposed to encourage or prohibit machine agents to put forward t heir bids for the jobs announced. The values of the metrics are adjusted iterati vely so as to obtain an integrated plan and schedule which result in the minimum total production cost while satisfying products due dates. To deal with the optimisation problem, i.e. to what degree and how the currencies should be adj usted in each iteration, a genetic algorithm (GA) is developed. Comparisons are made between GA approach and simulated annealing (SA) optimisation technique.
文摘The Regulations on the Management of Human Genetic Resources, which will come into force on July 1, will strengthen the management of human genetic resources and encourage their rational use.The document issued by the Chinese Govemment, stipulates the management of Chinese human genetic resources, including their collection, preservation, utilization, as well as the provision of such resources in China to overseas parties.
文摘On July 29,the 5-day llth International Conference on Grapevine Breeding and Genetics(Grape Conference)was held in Yanqing County of Beijing with two mascots"apu"and"atao"standing at the conference venue.Held every four years,the Conference has been held for ten times so far.As the world’s top-level and most influential academic and technological communication platform for grapevine genetics and breeding,the Conference attracts participants from as many countries as possible.This year
文摘输电导线弧垂是导线运行的重要参数,影响电网的安全稳定运行。为实现导线弧垂的准确监测,提出基于导线工频电场(power frequency electrical field,PFEF)逆运算的弧垂计算方法。首先根据悬链线方程,基于有限长线电荷建立导线工频电场的三维计算模型。然后根据导线下方工频电场的实时测量数据,在三维电场模型下利用遗传算法(geneticalgorithm,GA)反演得到导线的最大弧垂。考虑电场测量数据受外界环境因素和测量条件的影响,采用最小二乘支持向量机(least squares support vector machine,LS-SVM)建立导线原始测量数据的环境因素修正模型,使修正后的测量数据逼近理想条件下的数据。将修正后的电场测量值作为反演模型的目标参考值,进一步提高弧垂的计算精度。对比银川地区某条典型输电导线的测量数据,验证了该算法的有效性。
