A robust optimization approach is proposed for generating nondominated robust solutions for multiobjective linear programming problems with imprecise coefficients in the objective functions and constraints. Robust optimization is used in dealing with impreciseness while an interactive procedure is used in eliciting preference information from the decision maker and in making tradeoffs among the...

Optimization is a widespread notion: a large number of concrete problems require, during the solving process, optimizing a set of parameters (or variables) with respect to a given objective function (or fitness function). These variables can take integer or real values. Such problems for which variables can only take integer values, are called combinatorial optimization problems. This paper foc...

abstractaccidents and natural disasters and crises coming out of them indicate the importance of an integrated planning to reduce their effected. therefore, disaster relief logistics is one of the main activities in disaster management. in this paper, we study the response phase of the disaster management cycle and a bi-objective model has been developed for relief chain logistic in uncertainty...

Robust nonlinear optimization is not as well developed as the linear case, and limited in the constraints and uncertainty sets it can handle. In this work we extend the scope of robust optimization by showing how to solve a large class of robust nonlinear optimization problems. The fascinating and appealing property of our approach is that any convex uncertainty set can be used. We give an expl...

in this paper, a novel compensator based on magnetically controlled reactor with fixed capacitor banks (fc-mcr) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. the problem of robust fc-mcr-based damping controller design is formulated as a multi-objective optimization problem. the multi-objective problem is concocted ...

Metallic sandwich panels with periodic, open-cell cores are important new structures, enabled by novel fabrication and topology design tools. Fabrication protocols based on the sheet forming of trusses and shell elements (egg-boxes) as well as textile assembly have allowed the manufacture of robust structures by inexpensive routes. Topology optimization enables control of failure mechanisms at ...

The quality of surfaces machined by lapping depends on numerous variables, some of them controllable and others not. Their existence renders the task of selecting adequate working parameters and their values (set points) such as to obtain the desired response difficult. For this reason, this paper discusses the robust parameter design as an optimisation method for plane lapping. The paper prese...

Robust supplier selection problem, in a scenario-based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss dec...

The quality of packaging plays a critical role for the product overall. Color, finishing and surface must satisfy the highest demands. It is absolutely crucial that the information found on packaging is accurate and clearly legible. This especially the case when it comes to folding boxes in the pharmaceutical, food and cosmetics industry. That is why each individual manufacturing process – from...