MULTIOBJECTIVE OPTIMIZATION OF LARGE-SCALE STRUCTURES

This paper presents a multiobjective optimization algorithm based on g eneralized compound scaling techniques. The algorithm handles any numb er of objective functions, similar to handling behavior constraints. T his technique generates a partial Pareto set while solving the optimiz ation problem. A reliability-based decision criterion is used for sele cting the best compromise design. The example cases considered in this work include various disciplines in airframe structures, such as stre ss, displacement, and frequency with hundreds of design variables and constraints. This paper also discusses the concept of Pareto-optimal s olutions in the context of a multiobjective structural optimization pr oblem and the commonly used methods of generating Pareto-optimal solut ions.