• Mixed-integer linear programming formulations for influence diagrams are presented. Even problems in which the no-forgetting assumption does not hold can be solved. Many kinds of resource, logical and risk constraints accommodated. All non-dominated strategies computed with multiple objectives. Support project porfolio selection under endogenous uncertainties is given. Influence widely employ...

Present-day high quality 3D acquisition can give us lower frequencies and longer offsets with which to invert. However, the computational costs involved in handling this data explosion are tremendous. Therefore, recent developments in full-waveform inversion have been geared towards reducing the computational costs involved. A key aspect of several approaches that have been proposed is a dramat...

proper application of n fertilizer and its optimization for increasing the economic yield of rice is definitely important. in order to determine the best n application method and amount according to growth stages of hybrid rice, an experiment was carried out at experimental farm of rrii in a factorial experiment based on a randomized complete block design with 3 replications. the treatments inc...

This paper presents combinatorial measures of the system condition uncertainty (diagnostic entropy) and the diagnostic symptoms information. The multi-valued diagnostic model has been assumed. Proposed measures can be used for the diagnostic model analysis and the diagnosis algorithm optimization. Optimization method exploits indispensable symptoms at every stage of the optimization process pro...

Facility layout planning plays an important role in the manufacturing process and seriously impacts a company’s profitability. A well-planned layout can significantly reduce the total material handling cost. The purpose of this paper is to develop a two-stage inter-cell layout optimization approach by using one of the popular meta-heuristics — the Ant Colony Optimization algorithm. At the first...

In this paper, a two-stage method for damage detection and estimation in tall shear frames is presented. This method is based on the first mode shape of a shear frame. We demonstrate that the first mode shape slope is very sensitive to the story stiffness. Thus, at the first stage, by using the grey system theory on the first mode shape slope, damage locations are identified in shear frames. Da...

In this paper we describe a two-stage optimization model for determining robust rolling stock circulations for passenger trains. Here robustness means that the rolling stock circulations can better deal with large disruptions of the railway system. The two-stage optimization model is formulated as a large Mixed-Integer Linear Programming model. We first use Benders decomposition to determine op...