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Multi-Objective Decision Optimization of Construction Schedule Based on Improved TOPSIS

机译：基于改进TOPSIS的施工进度多目标决策优化

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《International Conference on Management and Service Science;MASS 2009》|2009年|1-4|共4页
会议地点 Wuhan
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Huang, Jian-wen; Wang, Xing-xia; Zhou, Yi-hong;
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3. Fuzzy-TOPSIS based Multi-objective Optimization of Machining Parameters for Improving Energy Consumption and Productivity [J] . Shailendra Pawanr, Tanmay Tanishk, Anuj Gulati, Procedia CIRP . 2021,第a期

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4. Multi-Objective Artificial Bee Colony Algorithms and Chaotic-TOPSIS Method for Solving Flowshop Scheduling Problem and Decision Making [J] . Monalisa Panda, Satchidananda Dehuri, Alok Kumar Jagadev Informatica: An International Journal of Computing and Informatics . 2020,第2期

机译：用于解决流程调度问题的多目标人工蜂殖民地算法和混沌主题方法和决策
5. GA-Based Multi-Objective Optimization of Finance-Based Construction Project Scheduling [J] . Habib Fathi, Abbas Afshar KSCE journal of civil engineering . 2010,第5期

机译：基于GA的基于财务的建设项目计划多目标优化
6. Multi-objective Decision Optimization of Construction Schedule Based on Improved TOPSIS [C] . Jian-wen Huang, Xing-xia Wang, Yi-hong Zhou International Conference on Management and Service Science . 2009

机译：基于改进Topsis的施工时间表多目标决策优化
7. Multi-objective optimization for resource driven scheduling in construction projects. [D] . Jun, Dho Heon. 2010

机译：建设项目中资源驱动的调度的多目标优化。
8. Complexity of line-seru conversion for different scheduling rules and two improved exact algorithms for the multi-objective optimization [O] . Yang Yu, Sihan Wang, Jiafu Tang, -1

机译：不同调度规则的line-seru转换的复杂性以及用于多目标优化的两种改进的精确算法
9. Multi-Objective Artificial Bee Colony Algorithms and Chaotic-TOPSIS Method for Solving Flowshop Scheduling Problem and Decision Making [O] . Monalisa Panda, Satchidananda Dehuri, Alok Kumar Jagadev 2020

机译：用于解决流程调度问题的多目标人工蜂殖民地算法和混沌主题方法和决策

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