RESOURCE LEVELING IN CONSTRUCTION BY GENETIC ALGORITHM-BASED OPTIMIZATION AND ITS DECISION SUPPORT SYSTEM APPLICATION
RESOURCE LEVELING IN CONSTRUCTION BY GENETIC ALGORITHM-BASED OPTIMIZATION AND ITS DECISION SUPPORT SYSTEM APPLICATION
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DOI：
10.1016/s0926-5805(99)00011-4
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发表时间：
2000-11
影响因子：
10.3
通讯作者：
S. Leu;C. Yang;Jiun-Ching Huang
中科院分区：
文献类型：
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作者：
S. Leu;C. Yang;Jiun-Ching Huang
传统的分析法和启发式方法在解决施工资源均衡问题时效率低下且缺乏灵活性。本研究采用计算优化技术遗传算法（GA）来克服传统建筑资源均衡算法的缺点。该算法能够有效地提供多种施工资源的最优或接近最优组合，以及满足资源均衡目标的活动的开始和结束日期。此外，还开发了用于施工资源均衡的决策支持系统（DSS）原型。施工规划人员可以与系统交互，通过“假设”查询进行临时分析。
Traditional analytical and heuristic approaches are inefficient and inflexible when solving construction resource leveling problems. A computational optimization technique, genetic algorithms (GAs), was employed in this study to overcome drawbacks of traditional construction resource leveling algorithms. The proposed algorithm can effectively provide the optimal or near-optimal combination of multiple construction resources, as well as starting and finishing dates of activities subjected to the objective of resource leveling. Furthermore, a prototype of a decision support system (DSS) for construction resource leveling was also developed. Construction planners can interact with the system to carry out ad hoc analysis through “what-if” queries.