Optimizing construction progress by evolutionary algorithm considering multi-objective criteria

Abstract

In the process of construction and installation, emergency requirements are designing a reasonable construction schedule. A suitable construction schedule will make an important contribution to reducing costs and saving construction time. Research on optimizing construction progress according to many goals to balance both time and resources is a difficult job, requiring a lot of effort. This study proposes the application of an evolutionary algorithm in optimizing the construction process with Gantt charts to meet the multi-target requirements. The multi-target function is built based on single target criteria and is used as the cost function of the evolutionary algorithm. Application results with specific projects show multi-target optimization by using evolutionary algorithms that allow automatically building a suitable and balanced construction schedule between targets. This study is expected to reduce project managers' work by providing an effective support tool