The Whale Optimization Algorithm (WOA) is a recently developed swarmbased optimization algorithm inspired by the hunting behavior of humpback whales. This study attempts to enhance the original formulation of the WOA by hybridizing it with some concepts of the Colliding Bodies Optimization (CBO) in order to improve solution accuracy, reliability, and convergence speed. The new method, called WOA-CBO algorithm, is applied to construction site layout planning problem. To show efficiency and performance of the WOA and WOA-CBO in construction site layout problems, three case studies are selected. The first case is a discrete and equal area facility layout problem that every facility can assign to any location; the second case is an unequal area version of discrete facility layout problem with more constraints; and the last case is a continuous model of construction site layouts. These cases are studied by WOA, CBO, and WOA-CBO, and the results are compared with each other.
CITATION STYLE
Kaveh, A., & Moghaddam, M. R. (2018). A hybrid WOA-CBO Algorithm for construction site layout planning problem. Scientia Iranica, 25(3A), 1094–1104. https://doi.org/10.24200/sci.2017.4212
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