Affiliation:
1. Mahidol University, Thailand
2. Khon Kaen University, Thailand
Abstract
Engineering design is one of many disciplines involving optimization problems. This chapter will introduce differential evolution (DE), as well as educate readers on an efficient adaptive differential evolution algorithm (ADEA). The ADEA is considered an effective method for complex structural optimization problems such as truss structures. First, the chapter will provide an overview on the DE and ADEA concepts. Using illustrative examples, the chapter will provide the reader with a methodology used to perform 2D and 3D truss sizing optimization. The remainder of the chapter will discuss the computational aspect of neural network assisted adaptive differential algorithm for truss optimization design. Future work can show the benefits of this adaptation to accelerate the convergence speed while using fewer structural analyses than those required by other methods.