Author/Authors :
Kaveh Ali نويسنده Professor of Structural Engineering at Iran University of Science and Technology, Tehran, Iran. , Rastegar Moghaddam Mohammad نويسنده MSc candidate
Abstract :
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 theWOA 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 eciency and performance
of the WOA and WOA-CBO in construction site layout problems, three case studies are
selected. The rst 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.