MULTIOBJECTIVE OPTIMIZATION OF LARGE-SCALE STRUCTURES

This paper presents a multiobjective optimization algorithm based on generalized compound scaling techniques. The algorithm handles any number of objective functions, similar to handling behavior constraints. This technique generates a partial Pareto set while solving the optimization problem. A reliability-based decision criterion is used for selecting the best compromise design. The example cases considered in this work include various disciplines in airframe structures, such as stress, displacement, and frequency with hundreds of design variables and constraints. This paper also discusses the concept of Pareto-optimal solutions in the context of a multiobjective structural optimization problem and the commonly used methods of generating Pareto-optimal solutions.