An Active-Set Trust-Region Algorithm for Solving Constrained Multi-Objective Optimization Problem

نویسنده

  • Bothina El-Sobky
چکیده

In this paper, the multi-objective optimization problem with equality and inequality constraints is solved by using interactive sequential optimization technique (I-SHOT) which convert the constrained multi-objective optimization problem to a single objective optimization problem with equality and inequality constraints. A trust-region algorithm for solving a single objective optimization problem with equality and inequality constraints is used. In this algorithm, an active set strategy is used together with a reduced Hessian technique is used to convert the computation of the trial step to two easy trust-region subproblems and the conjugate-gradient method is used to compute the trial step. A Matlab implementation of our algorithm was used in solving one case studies and the result are reported

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Stability of Fuzzy Multi-Objective Constrained Optimization Problem Using a Trust-Region Algorithm

In this paper, a fuzzy multi-objective constrained optimization problem (FMCOP) is converted to a single-objective constrained optimization problem with equality and inequality constraints (SCOP) by using α−level set of the fuzzy vector and weighting approach. A trust-region algorithm for solving problem (SCOP) is introduced to obtain α−pareto optimal solutions of problem (FMCOP). An εα−stabili...

متن کامل

Constrained Multi-Objective Optimization Problems in Mechanical Engineering Design Using Bees Algorithm

Many real-world search and optimization problems involve inequality and/or equality constraints and are thus posed as constrained optimization problems. In trying to solve constrained optimization problems using classical optimization methods, this paper presents a Multi-Objective Bees Algorithm (MOBA) for solving the multi-objective optimal of mechanical engineering problems design. In the pre...

متن کامل

Solving Environmental/Economic Power Dispatch Problem by a Trust Region Based Augmented Lagrangian Method

This paper proposes a Trust-Region Based Augmented Method (TRALM) to solve a combined Environmental and Economic Power Dispatch (EEPD) problem. The EEPD problem is a multi-objective problem with competing and non-commensurable objectives. The TRALM produces a set of non-dominated Pareto optimal solutions for the problem. Fuzzy set theory is employed to extract a compromise non-dominated sol...

متن کامل

A Numerical Parametric Study of Multi-objective Non-linear Programming Problems under Fuzzy Environment Using a Trust-region Algorithm

In this paper, we introduce a numerical method to determine the stability set of the first kind for fuzzy multi-objective non-linear programming (FMONP) problem. An α−level set of the fuzzy vector is used together with a weighting approach to transform (FMONP) problem to a single-objective inequality constrained optimization (SOICO) problem. An active set strategy is used together with a multip...

متن کامل

Using Genetic Algorithm in Solving Stochastic Programming for Multi-Objective Portfolio Selection in Tehran Stock Exchange

Investor decision making has always been affected by two factors: risk and returns. Considering risk, the investor expects an acceptable return on the investment decision horizon. Accordingly, defining goals and constraints for each investor can have unique prioritization. This paper develops several approaches to multi criteria portfolio optimization. The maximization of stock returns, the pow...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011