Optimization of a structure which is subjected to simultaneous multiple load cases starts with the investigation of worst possible load case combination. This is called conventional optimization approach, which can be considered impractical due to the excessive CPU times in the application of multiple load cases.This computational difficulty can be overcome by deploying singular value decomposition (SVD) to find the worst possible load case against which the structure should be optimized. To this end, the SVD based optimization approach to optimization of a structure subject to simultaneous multiple load cases is presented. Conventional Multiobjective optimization and SVD based Multi-objective optimization approaches are applied to a sample Commercial Truck Chassis Frame structure for durability vs. weight objectives. This will enable designer to select the optimum design parameters out of the calculated Pareto sets. Accordingly, designer will have the flexibility to choose and test the selected design parameters against previously specified design requirements. It is shown that SVD based optimization approach has certain advantages over the conventional optimization technique in the existence of simultaneous multiple load cases.This will be an application of multi-objective size optimization problem into a physical/real life engineering problem.