Efficient multi-objective optimization algorithms for construction site layout problem

Abstract

Construction site layout planning is one of the managerial aspects of the construction industry and has a significant impact on performance of the sites. Since many objectives are involved in real site layout optimization, multi-objective algorithms are required. In this study, multi-objective versions of two meta-heuristics, CBO and ECBO, are developed, and their applicability and performances are checked within a case study. The quality of the results obtained veriffes the ability of these algorithms to find the optimal Pareto front in this problem. Another tool utilized in this study is Data Envelopment Analysis (DEA) which, by calculating the efficiency of optimal Pareto front layouts, can help decision-makers select the final layout among the candidates. It should be mentioned that the DEA has previously been used in models with multiple inputs and outputs.