A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimization of Construction Program Schedule Plans Based on Multi-Objective Optimization Theory
https://orcid.org/https://orcid.org/0000-0002-8293-7619
https://orcid.org/https://orcid.org/0000-0001-6882-280X
Multiple sub-projects in a construction program (CP) generally involve overlapping construction times and serious resource conflicts, and the decision-making environment is complex and changeable. Optimizing the schedule plan is an effective way to ensure that the mandatory CP duration is met. Based on multi-objective optimization theory, an optimization model for CP schedule plans is established to achieve CP duration optimization and resource leveling. An improved adaptive NSGA-II algorithm (IANSGA-II) is proposed to enhance the convergence, uniformity, and spread of the optimization results. An optimization process for CP schedule plans is presented based on the proposed model and algorithm. A case study of a geological disaster treatment program is conducted, and an optimized schedule plan set containing three schedule plans is obtained based on the proposed model and algorithm. The case study shows that the proposed optimization model and algorithm are reasonable and adaptive. Compared with the results of the standard NSGA-II and adaptive NSGA-II (ANSGA-II), the Pareto solutions obtained by the IANSGA-II dominate up to 75.6% of the solutions of the ANSGA-II and 91.8% of the solutions of the NSGA-II. This proves that the uniformity and spread of the Pareto solutions obtained by the IANSGA-II are better than those of the other two algorithms. In addition, a metric that can characterize convergence shows that the IANSGA-II has the best convergence. Two theoretical cases show that the proposed algorithm will also work in higher-dimensional search spaces. Optimizing the schedule plan of CPs based on the proposed process will provide decision-makers with more schedule plans to adapt to different decision-making environments.
Optimization of Construction Program Schedule Plans Based on Multi-Objective Optimization Theory
https://orcid.org/https://orcid.org/0000-0002-8293-7619
https://orcid.org/https://orcid.org/0000-0001-6882-280X
Multiple sub-projects in a construction program (CP) generally involve overlapping construction times and serious resource conflicts, and the decision-making environment is complex and changeable. Optimizing the schedule plan is an effective way to ensure that the mandatory CP duration is met. Based on multi-objective optimization theory, an optimization model for CP schedule plans is established to achieve CP duration optimization and resource leveling. An improved adaptive NSGA-II algorithm (IANSGA-II) is proposed to enhance the convergence, uniformity, and spread of the optimization results. An optimization process for CP schedule plans is presented based on the proposed model and algorithm. A case study of a geological disaster treatment program is conducted, and an optimized schedule plan set containing three schedule plans is obtained based on the proposed model and algorithm. The case study shows that the proposed optimization model and algorithm are reasonable and adaptive. Compared with the results of the standard NSGA-II and adaptive NSGA-II (ANSGA-II), the Pareto solutions obtained by the IANSGA-II dominate up to 75.6% of the solutions of the ANSGA-II and 91.8% of the solutions of the NSGA-II. This proves that the uniformity and spread of the Pareto solutions obtained by the IANSGA-II are better than those of the other two algorithms. In addition, a metric that can characterize convergence shows that the IANSGA-II has the best convergence. Two theoretical cases show that the proposed algorithm will also work in higher-dimensional search spaces. Optimizing the schedule plan of CPs based on the proposed process will provide decision-makers with more schedule plans to adapt to different decision-making environments.
Optimization of Construction Program Schedule Plans Based on Multi-Objective Optimization Theory
https://orcid.org/https://orcid.org/0000-0002-8293-7619
https://orcid.org/https://orcid.org/0000-0001-6882-280X
Multiple sub-projects in a construction program (CP) generally involve overlapping construction times and serious resource conflicts, and the decision-making environment is complex and changeable. Optimizing the schedule plan is an effective way to ensure that the mandatory CP duration is met. Based on multi-objective optimization theory, an optimization model for CP schedule plans is established to achieve CP duration optimization and resource leveling. An improved adaptive NSGA-II algorithm (IANSGA-II) is proposed to enhance the convergence, uniformity, and spread of the optimization results. An optimization process for CP schedule plans is presented based on the proposed model and algorithm. A case study of a geological disaster treatment program is conducted, and an optimized schedule plan set containing three schedule plans is obtained based on the proposed model and algorithm. The case study shows that the proposed optimization model and algorithm are reasonable and adaptive. Compared with the results of the standard NSGA-II and adaptive NSGA-II (ANSGA-II), the Pareto solutions obtained by the IANSGA-II dominate up to 75.6% of the solutions of the ANSGA-II and 91.8% of the solutions of the NSGA-II. This proves that the uniformity and spread of the Pareto solutions obtained by the IANSGA-II are better than those of the other two algorithms. In addition, a metric that can characterize convergence shows that the IANSGA-II has the best convergence. Two theoretical cases show that the proposed algorithm will also work in higher-dimensional search spaces. Optimizing the schedule plan of CPs based on the proposed process will provide decision-makers with more schedule plans to adapt to different decision-making environments.
Optimization of Construction Program Schedule Plans Based on Multi-Objective Optimization Theory
Iran J Sci Technol Trans Civ Eng
Liu, Yibiao (author) / Cheng, Hongqun (author) / Liu, Chenchen (author)
2022-12-01
20 pages
Article (Journal)
Electronic Resource
English
Optimal sustainable road plans using multi-objective optimization approach
| Online Contents | 2016
Multi-Objective Optimization of Construction Schedules
| British Library Conference Proceedings | 1994
Handling construction pollutions using multi-objective optimization
| Online Contents | 2008
Automated multi-objective construction logistics optimization system
| Online Contents | 2014
Automated multi-objective construction logistics optimization system
| British Library Online Contents | 2014