鸿业城市花园户型图

从顺德*客运总站走约10米到顺德客运总站乘坐 顺德-禅城城巴 (坐36站)到佛陈路大都村口站转乘 831路 (坐7站)到怡翠玫瑰园站(季华六路)下。走约170米到鸿业城市花园.

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容积率:2.70   绿化率:34   总户数:1200   建筑面积:181377平方米   占地面积:56462平方米[3]   4配套*编辑   周边商业:工商银行,建设银行   鸿业城市花园实景图...   ....................

招行网点营 业 网 点招商银行佛山区营业网点览表 （更新期：200612月30） [打印本页]网点名称址 储蓄电储蓄营业间行营业部 佛山市季华五路23号鸿业豪庭西侧首层 0【固定号码】；83003638 8：30-17：00（周至五）；9：00-16：30（周六）乐支行 佛山市顺德区乐镇路洲村委第二工业区11号B南17号 0【固定号码】 8：30-17：00（周至五）；9：00-16：31（周六）容桂支行 佛山市顺德区容桂凤祥南路13号怡富楼层、二层 0【固定号码】；23619997 8：30-17：00（周至五）；9：00-16：30（周六）1

With the increasingly fierce market competition, diversification, multi-product with small quantity and high-flexible mode of production is graduall供弗垛煌艹号讹铜番扩y becoming the main stream. This production mode makes the production become more complex. In order to keep the production well-aligned and high efficient, the production scheduling problem needs to be solved. Therefore, researching the production scheduling problem has significant theory meaning and realistic value. The particle swarm optimization (PSO), as a new type of Evolutionary algorithm, caused the attention and research from many scholars worldwide, because of its easy operation and realization. Today, the PSO has been used for solving many different problems. The production scheduling problem is also included. This paper, by using the PSO, solved the scheduling problem of assembly workshop with the target of minimizing the total production time. In this research, we made different setting to the important parameters in the PSO, so that we can get different experimental results. Then through the analysis of these experimental results, the affect from these parameters to the performance of the PSO will be researched.