Privacy has been a major concern for agents in distributed constraint reasoning. In this work, we approach this issue in distributed constraint reasoning by letting agents compromise solution quality for preserving privacy, using utility theory. We formalize privacy in the context of distributed constraint reasoning, detail its different aspects, and present model and solvers, as well as their ...

In this paper the preliminary design of multiple gravity-assist trajectories is formulated as a global optimization problem. An analysis of the structure of the solution space reveals a strong multimodality, which is strictly dependent on the complexity of the model. On the other hand it is shown how an oversimplification could prevent finding potentially interesting solutions. A trajectory mod...

Stochastic Programming (SP) has long been considered as a well-justified yet computationally challenging paradigm for practical applications. Computational studies in the literature often involve approximating a large number of scenarios by using a small number of scenarios to be processed via deterministic solvers, or running Sample Average Approximation on some genre of high performance machi...

introduction heart failure is the second most common cause of ascites after cirrhosis. there are cardiac and noncardiac etiologies of ascites, and the multimodality imaging approach is a rich tool to redefine the final diagnosis. case presentation we present a case-series where 3 patients were referred to our hospital for further hepatology assessment due to severe abdominal ascites and liver f...

This paper describes an object-oriented implementation and extension of the algorithm described in [6] for nding and generating closed-form solutions in single-loop mechanisms featuring such closed-form solutions. In contrast to the previously mentioned approach, the present method relies purely on the result of geometric projections, without performing symbolical simpli cations. This makes it ...

Following Vartiainen (2007) we consider bargaining problems in which no exogenous disagreement outcome is given. A bargaining solution assigns a pair of outcomes to such a problem, namely a compromise outcome and a disagreement outcome: the disagreement outcome may serve as a reference point for the compromise outcome, but other interpretations are given as well. For this framework we propose a...

With the aim of developing a flexible optimization method for managing conflict resolution, this paper concerns itself with multi-objective mixed-integer programs. For this purpose, we have proposed an intelligence supported approach that combines genetic algorithm with mathematical programs (hybrid genetic algorithm) to derive the best-compromise solution. Also we have developed a novel modeli...

This study deals with the selection of a sustainable supplier on example agribusiness company Mamex from Bosnia and Herzegovina. The main problem this research is as part strategy company. One prerequisites that suppliers must present sustainability principles in business by having an appropriate certificate. results are completed using new hybrid fuzzy approach methods IMF SWARA (Improved Fuzz...