Numerical Optimization and Applications Symposium has the main objective to promote the modeling, theory and study of numerical algorithms for solving optimization problems. Because of the wide and growing use of optimization in science, engineering, economics, finance and industry, it is important to develop an understanding of optimization algorithms. Knowledge of the capabilities and limitations of these algorithms leads to a better understanding of their impact on various applications, and points the way to future research on improving and extending optimization algorithms and software. Our goal in this session is to give a description of the some powerful, techniques for solving continuous optimization problems.