BLACK HOLE-INSPIRED ALGORITHM: AN INTELLIGENT APPROACH FOR SOLVING CONSTRAINED STRUCTURAL DESIGN OPTIMIZATION
Structural design optimization becomes an uneasy task and extremely challenging for many practical applications of structural engineering. Most problems are highly nonlinear due to a huge number of design variables and complex constraints on stresses, displacements, and load carrying capability. Traditional local search algorithms, such as hill-climbing, Nelder-Mead downhill methods, and steepest descent, are often failed to find the optimum solution in nonlinear problems. The growing complexity of these problems has motivated researchers to search for advance optimization methods. Nature has been a source inspiration for developing the computational algorithms over past decades. One of the most recent natureinspired tools, namely Black Hole (BH), has been constructed based on the gravitational pull phenomenon of black hole. This study intends to investigate BH to solve a set of complex structural optimization problems. Several complex case studies of truss design problem are provided to validate the performance of BH. The results indicate the potential of BH as an innovative approach to solve structural design optimization problems.