Optimum Design of Skeletal Structures via Big Bang–Big Crunch Algorithm

The Big Bang–Big Crunch (BB–BC) optimization algorithm is a recently developed optimization method that relies on the Big Bang and Big Crunch theory, one of the theories of the evolution of the universe. This is an algorithm with simple implementation and a small number of parameters for adjustments. In this chapter, an improved BB–BC methodology is presented to find the optimum design of different types of skeletal structures. The new algorithm is applied to the optimum design of truss structures with continuous or discrete search domains and frame structures with a discrete search domain. The new BB–BC method is compared to the standard variant and other optimization algorithms. Numerical results show the efficiency and robustness of the present method compared to other heuristics approaches.

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