Time–Cost Optimization In Construction Management Using Multi-verse Optimizer

Abstract Since the start of critical path method development, time–cost trade-off problems have been intensively explored and have become one of the most essential parts of construction project planning and control. Reasonable use and operation of the works can increase the project’s cash flow as well as avoid unfavorable weather conditions. The time–cost relationship of a construction project is referred to as a trade-off, especially the less expensive the resources utilized, the longer it takes to finish a project. The Multi-verse Optimizer (MVO) is a new tool introduced in this work to handle the discrete-time–cost trade-off problem (DTCTP). Three benchmark test issues with 18 activities are employed to evaluate the performance of the MVO. The findings indicate that the MVO is highly effective in solving the small-scale DTCTPs against state-of-the-art methods.