Improved Scalarizing Techniques for Solving Multi-objective Optimization Problems

摘要

Several scalarizing techniques are used for solving multi-objective optimization (MOO) problems. Most of these scalarizing techniques were found inefficient in obtaining an appropriate solution of MOO problems. The study proposed improved scalarizing techniques for solving multi-objective optimization (MOO) problems. The improved scalarizing techniques using mean, harmonic mean and geometric mean have been applied for solving two MOO problems and generated satisfactory solutions.