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Levy flight trajectory-based whale optimization algorithm for engineering optimization

机译：基于征航轨迹的鲸鱼优化算法用于工程优化

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Purpose This paper aims to represent an improved whale optimization algorithm (WOA) based on a Levy flight trajectory and called the LWOA algorithm to solve engineering optimization problems. The LWOA makes the WOA faster, more robust and significantly enhances the WOA. In the LWOA, the Levy flight trajectory enhances the capability of jumping out of the local optima and is helpful for smoothly balancing exploration and exploitation of the WOA. It has been successfully applied to five standard engineering optimization problems. The simulation results of the classical engineering design problems and real application exhibit the superiority of the LWOA algorithm in solving challenging problems with constrained and unknown search spaces when compared to the basic WOA algorithm or other available solutions.
机译：目的本文旨在代表一种基于Levy飞行轨迹的改进的鲸鱼优化算法（WOA），并将其称为LWOA算法以解决工程优化问题。 LWOA使WOA更快，更强大，并显着增强了WOA。在LWOA中，征费飞行轨迹增强了跳出局部最优值的能力，有助于平稳平衡WOA的勘探和开发。它已成功应用于五个标准工程优化问题。与基本WOA算法或其他可用解决方案相比，经典工程设计问题和实际应用的仿真结果显示了LWOA算法在解决搜索空间受限和未知的挑战性问题方面的优势。

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