Sharif University of Technology Scientia Iranica 1026-3098 25 4 2018 08 01 Efficient multi-objective optimization algorithms for construction site layout problem 2051 2062 4216 10.24200/sci.2017.4216 EN A. Kaveh Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of ‎Science and Technology, Narmak, Tehran, P.O. Box 16846-13114, Iran‎ M. Rastegar Moghaddam School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, b P.O. Bo x 16846 - 13114, Iran M. Khanzadi School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, b P.O. Bo x 16846 - 13114, Iran Journal Article 2017 11 26 Construction site layout planning is one of the managerial aspects of the construction industry and has significant impacts on performance of the sites. Since in real site layout optimization, many objectives are involved, therefore multi-objective algorithms are needed. In this study, multi-objective version of two meta-heuristics, CBO and ECBO, are developed and their applicability and performance are checked on a case study. The quality of the results obtained, verify the ability of these algorithms in finding optimal pareto front on this problem. Another tool that is utilized in this study is data envelopment analysis (DEA) which by calculating the efficiency of optimal pareto front layouts, can help decision makers to 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. https://scientiairanica.sharif.edu/article_4216_32853e6bc8b6176c321a748f76555129.pdf