Black-box optimization (BBO) problems arise in numerous scientific and engineering applications and are characterized by computationally intensive objective functions, which severely limit the number of evaluations that can be performed. We present a robust set of features that analyze the fitness landscape of BBO problems and show how an algorithm portfolio approach can exploit these general, ...

in this paper, a robust model presented is developed for hub covering flow problem in which hubs have capacity. this problem has two objective functions converting to a single-objective problem by using weighting method. firstly, the problem will be formulated in a certain case. then, by considering the demand as a non-random variable, it will be modeled by robust optimization. finally, by usin...

This work introduces a robust formulation of the uncertain set covering problem combining the concepts of robust and probabilistic optimization and defines ’Γ-robust α-covers’. It is shown that the proposed robust uncertain set covering problem can be stated as a compact mixed-integer linear programming model which can be solved with modern computer software. This model is a natural extension o...

double bridge girder overhead cranes are used for heavy duty applications in theindustry. in this paper a detailed parametric design optimization of the main girder of box type isperformed for a 150ton capacity and 32m long span crane, after its basic design using availabledesign rules. design optimization is performed using detailed 3d finite element analysis bychanging the number, shape and l...

We consider a finite-horizon single-product periodic-review inventory management problem with demand distribution uncertainty. We formulate the problem as a dynamic program and prove the existence of an optimal (s, S) policy. The corresponding dynamic robust counterpart models are then developed for the box and the ellipsoid uncertainty sets. These counterpart models are transformed into tracta...

This document provides a brief proposal for “Robust Optimization & Robust Control Synthesis” reading group.

In this paper, we introduce a second-order strong subdifferential of set-valued maps, and discuss some properties, such as convexity, sum rule so on. By the new its establish necessary sufficient optimality condition set-based robust efficient solutions for uncertain optimization problem. We also Wolfe type dual problem Finally, weak duality theorem between Several main results extend to corres...

In this study, deterministic and robust optimization models for single artillery unit fire scheduling are developed to minimize the total enemy threat to friendly forces by considering the enemy target threat level, enemy target destruction time, and target firing preparation time simultaneously. Many factors in war environments are uncertain. In particular, it is difficult to evaluate the thre...

Robust optimization is a methodology that has gained a lot of attention in the recent years. This is mainly due to the simplicity of the modeling process and ease of resolution even for large scale models. Unfortunately, the second property is usually lost when the cost function that needs to be “robustified” is not concave (or linear) with respect to the perturbing parameters. In this paper, w...

In this paper, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems’ landscapes and show their effectiveness in automatically constructing algorithm selection models in continuous black-box optimization problems. Focussing on algorithm performance results of the COCO platform of several years, we construct a repre...