سال انتشار: ۱۳۹۱

محل انتشار: کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی

تعداد صفحات: ۵

نویسنده(ها):

Akbar Hashemi Borzabadi – School of Mathematics and Computer Science, Damghan University, 36716-41167, Damghan, Iran
Maryam Shahmohamadi – School of Mathematics and Computer Science, Damghan University, 36716-41167, Damghan, Iran,

چکیده:

In this paper a quasi-Newton method based on an extension of Newton methods is presented for unconstraint multiobjective optimization. By using BFGS formula, a quasi-Newton’s direction at each iteration is obtainedby minimizing the max-ordering scalarization of the variations on the quadratic approximations of the objective function. To show the campetency of the given approach, comparison of the results by applying the modified approach and Newton method illustrated