| Popis: |
Time–cost trade-off analysis is one of the most important aspects of construction project planning and control. The completion time of one project can be shortened by allocating additional resources to key activities; however, additional costs are required for accelerating the project completion time. Thanks to the critical path method (CPM), total project costs can be reduced by using inexpensive resources for minor activities without affecting the project schedule. However, this method is not sufficiently effective to solve large-scale time–cost trade-off problems. This study introduces a hybrid multi-verse optimizer model (hDMVO) combining the multi-verse optimizer (MVO) and the Sine Cosine algorithm (SCA) to address the discrete time–cost trade-off problem (DTCTP). Four benchmark test problems, including two medium-scale instances (63 activities) and two large-scale instances (630 activities) are used to evaluate the performance of hDMVO. The results indicate that hDMVO can provide solutions that are superior to previous algorithms in the time–cost optimization of large-scale and complicated projects. |
