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首页> 外文期刊>Journal of Computing in Civil Engineering >Multiobjective Evolutionary Finance-Based Scheduling: Entire Projects' Portfolio
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Multiobjective Evolutionary Finance-Based Scheduling: Entire Projects' Portfolio

机译：基于多目标进化金融的计划：整个项目组合

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摘要

A strength Pareto evolutionary algorithm (SPEA) is proposed and was modified by incorporating logic-preserving crossover and mutation operators and employed to devise a set of optimum finance-based schedules of multiple projects being implemented simultaneously by a construction contractor. The problem involves the minimization of the conflicting objectives of financing costs, duration of the group of projects, and the required credit. The modified SPEA was employed to obtain the Pareto-optimal fronts for the two-objective combinations as well as the three objectives. In addition, a fuzzy-based technique was used to help the contractors select the best compromise solution over the Pareto-optimal solutions. The proposed approach has been developed and implemented on projects with different sizes. The results obtained by the modified SPEA, fuzzy-based approach demonstrated its potential and effectiveness in finance-based scheduling of multiple projects.
机译：提出了强度帕累托进化算法（SPEA），并通过结合保留逻辑的交叉算子和变异算子对其进行了修改，并用于设计一套由多个最佳承包商基于财务计划的计划，这些计划由建筑承包商同时实施。问题涉及到将相互矛盾的融资成本目标，项目组的持续时间以及所需的信贷降到最低。修改后的SPEA用于获得两个目标组合以及三个目标的帕累托最优前沿。另外，基于模糊的技术被用来帮助承包商选择比帕累托最优方案更好的折衷方案。拟议的方法已在不同规模的项目上开发和实施。改进的SPEA，基于模糊的方法获得的结果证明了其在多个项目基于财务的计划中的潜力和有效性。

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