Abstract
Differential evolution (DE) is a popular computational method used to solve optimization problems with several variants available in the literature. Here, the use of a similarity-based surrogate model is proposed in order to improve DE’s overall performance in computationally expensive problems. The offspring are generated by means of different variants, and only the best one, according to the surrogate model, is evaluated by the simulator. The problem of weight minimization of truss structures is used to assess the performance of the proposed procedure. The surrogate assisted DE techniques presented here are compared to standard versions of DE using different variants. The experiments are composed by six different optimization problems involving five structures with continuous as well as discrete design variables.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call