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Construction Site Layout Planning Problem Using Two New Meta-heuristic Algorithms
Abstract In the recent decades, site layout has been known as one of the challenging problems among researchers in the field of construction management. Since this problem is validated as an NP-complete problem, exact method cannot find the best solution in particular for the medium and large-scale problems. Several researches have been conducted for solving this problem using meta-heuristics. However, new meta-heuristics may lead to more accurate solutions in less computational time. In this research, two new meta-heuristics called CBO and ECBO have been employed to solve construction site layout problem. Results show that both of them have capability of solving this kind of problem. Two case examples are solved to show the applicability and performance of the proposed methods.
Construction Site Layout Planning Problem Using Two New Meta-heuristic Algorithms
Abstract In the recent decades, site layout has been known as one of the challenging problems among researchers in the field of construction management. Since this problem is validated as an NP-complete problem, exact method cannot find the best solution in particular for the medium and large-scale problems. Several researches have been conducted for solving this problem using meta-heuristics. However, new meta-heuristics may lead to more accurate solutions in less computational time. In this research, two new meta-heuristics called CBO and ECBO have been employed to solve construction site layout problem. Results show that both of them have capability of solving this kind of problem. Two case examples are solved to show the applicability and performance of the proposed methods.
Construction Site Layout Planning Problem Using Two New Meta-heuristic Algorithms
Kaveh, A. (author) / Khanzadi, M. (author) / Alipour, M. (author) / Moghaddam, M. Rastegar (author)
2016-10-28
13 pages
Article (Journal)
Electronic Resource
English
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