Chaos Embedded Meta-heuristic Algorithms for Optimal Design of Truss Structures

The success of embedded chaos in metaheuristic algorithms is mainly due to providing good balance between exploration and exploitation for metaheuristics. Comparison optimization results with standard mode shows a significant improvement quality the algorithms, thus reducing weight truss structures. Four logistic, Tenet Gaussian maps are considered improve results. Despite severely nonlinear non-convex, often has several local optimizations, use different scenarios allows optimizations be escaped global achieved.