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FINANCE-BASED SCHEDULING OF MULTIPLE CONSTRUCTION PROJECTS USING MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS

机译:基于金融的多施工项目使用多目标进化算法调度

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Financing construction projects is a crucial challenge for contractors in order to run sustained business. Being a concern of the whole corporate rather than the individual projects, contractors manage financing at the corporate level. Contractors finance projects mainly through the owners' progress payments supplemented by fund procured through establishing credit-line accounts. Given the facts that owners actually pay after the accomplishment of the work while retaining some money, and the cash that contractors can withdraw from credit lines is limited in amount, contractors often operate under cashconstrained conditions. Thus, the premise that the best proactive approach of financial planning contractors can follow is to schedule construction activities based on the available finance is strongly advocated. The finance-based scheduling makes the expenditures of the activities during a given period in balance with the available cash during the same period. A Strength Pareto Evolutionary Algorithm (SPEA) is proposed and employed to device a set of optimum finance-based schedules of multiple projects being implemented simultaneously.
机译:融资建设项目对于承包商来说是一个至关重要的挑战,以便运行持续的业务。作为整个企业而不是个别项目的关注,承包商在公司层面管理融资。承包商财务项目主要是通过建立信用额度账户所采购的基金补充的所有者的进展预算。鉴于所有者在留下工作后实际支付的事实,同时保留了一些钱,承包商可以退出信用额度的现金金额有限,承包商经常根据兑现条件运作。因此,财务规划承包商的最佳主动方法可以遵循的前提是根据强烈倡导的可用融资安排建筑活动。基于财政的调度在同一时期内与可用现金平衡期间的活动期间的开支。提出了一种强度帕罗族进化算法(SPEA),并用于设备同时实现的多个项目的一组最佳融资计划。

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