In this paper, an efficient hybrid optimization algorithm based on invasive weed optimization algorithm and shuffled frog-leaping algorithm is presented for optimum design of trusses. The shuffled frog-leaping algorithm is a population-based cooperative search metaphor inspired by natural memetic, and the invasive weed optimization algorithm is an optimization method based on dynamic growth of weeds colony. The proposed algorithm utilizes the shuffled frog-leaping algorithm for finding optimal solution region rapidly and the invasive weed optimization is used to exploit global solutions. Different benchmark truss structures are optimized using the new hybrid algorithm. This algorithm converges to better or at least the same solutions compared to some other methods, while the number of structural analyses is reduced. The outcomes are compared to those obtained previously using other recently developed metaheuristic optimization methods.

中文翻译：

---

用于桁架结构优化设计的混合侵入杂草优化-混洗蛙跳算法

本文提出了一种基于侵入杂草优化算法和混杂蛙跳算法的高效混合优化算法，用于桁架的优化设计。shuffled 蛙跳算法是一种受自然模因启发的基于种群的协同搜索隐喻，侵入性杂草优化算法是一种基于杂草群落动态生长的优化方法。所提出的算法利用混洗蛙跳算法快速寻找最优解区域​​，并利用侵入性杂草优化来开发全局解。使用新的混合算法优化了不同的基准桁架结构。与其他一些方法相比，该算法收敛到更好或至少相同的解决方案，同时减少了结构分析的数量。