Hybrid Invasive Weed Optimization-Shuffled Frog-Leaping Algorithm for Optimal Design of Truss Structures

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.