Topology Optimization of Continuum Structures Based on Binary Hunter-Prey Optimization Algorithm

According to BESO’s principle of binarizing continuous design variables and the excellent performance standard HPO algorithm in terms solving optimization problems, a discrete binary Hunter-prey is introduced construct an efficient topology model. It was used solve problems that BESO method has, such as easily falling into local optimal value being unable obtain configuration; metaheuristic able model’s low computational efficiency could produce intermediate elements unclear boundaries. Firstly, BHPO constructed by processing using s-shape transformation function. Secondly, BHPO-BESO theory established combining with optimization. Using sensitivity information objective function updated meta-heuristic algorithm, semi-random search for configuration carried out. Finally, numerical simulation experiments were conducted three typical examples cantilever beam, simply supported clamping beam objects results compared solution The experimental showed BESO, find lower compliance maximum stiffness, it has higher efficiency, which can above problems.