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...

this paper focuses upon the development of an efficient method for conceptual design optimization of a satellite. there are many option for a satellite subsystems that could be choice, as acceptable solution to implement of a space system mission. every option should be assessment based on the different criteria such as cost, mass, reliability and technology contraint (complexity). in this rese...

This paper presents a three-stage optimization algorithm for solving two-stage robust decision making problems under uncertainty with min-max regret objective. The structure of the first stage problem is a general mixed integer (binary) linear programming model with a specific model of uncertainty that can occur in any of the parameters, and the second stage problem is a linear programming mode...

Abstract We propose a general solution approach for min-max-robust counterparts of combinatorial optimization problems with uncertain linear objectives. focus on the discrete scenario case, but our can be extended to other types uncertainty sets such as polytopes or ellipsoids. Concerning underlying certain problem, algorithm is entirely oracle-based, i.e., only requires (primal) solving proble...

Robust optimization (RO) is a common approach to tractably obtain safeguarding solutions for problems with uncertain constraints. In this paper, we study statistical framework integrate data into RO based on learning prediction set using (combinations of) geometric shapes that are compatible established tools and simple data-splitting validation step achieves finite-sample nonparametric guarant...