Abstract
The whale optimization algorithm (WOA) is a recently developed swarm-based optimization algorithm inspired by the hunting behavior of humpback whales. This study attempts to enhance the original formulation of the WOA in order to improve solution accuracy, reliability, and convergence speed. The new method, called enhanced whale optimization algorithm (EWOA), is tested in the sizing optimization of skeletal structures. In this chapter, EWOA is also compared with WOA and other metaheuristic methods developed in the literature using four skeletal structure optimization problems. Numerical results compare the efficiency of the WOA and EWOA with the latter algorithm being superior to the standard implementation [1].
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