decisions relating to most irrigation-planning problems need to be made in the face of hydrologic uncertainties, which make the irrigation-planning problem more complex. the uncertainties can be tackled by formulating the problem as fuzzy linear programming (flp). in the present study, single objective fuzzy linear programming (soflp) irrigation planning model was formulated for deriving the op...

The importance of inland ports in promoting current cross-border trade is increasingly recognized. In this work, we aim to design the entire network for multimodal container transport system based on ports. Unlike previous studies, consider strong uncertainty transportation demand be caused by a variety realistic factors such as global economic situation, policies among countries, and epidemics...

This paper investigates cumulative scheduling in uncertain environments, using constraint programming. We present a new declarative characterization of robustness, which preserves solution quality. We highlight the significance of our framework on a crane assignment problem with business constraints.

A STOCHASTIC PROGRAMMING MODEL FOR AGRICULTURAL PLANNING UNDER UNCERTAIN SUPPLY -DEMAND RELATIONS Teruaki Nanseki NatiolUlI Agriculture Research Center (Received April 15,1988; Revised October 28, 1988) The main purpose of this paper is to present a stochastic programming model for agricultural planning under uncertain supply-demand relations and to propose an algorithm for the model. We first ...

The dynamically evolving environment of the post-disaster scene—where unpredictable scenarios and uncertain data are commonplace—can bring about considerable complexity into response tasks. The multiplicity and interdependence of approaches to undertaking these tasks may yield many decision alternatives, further complicating the response effort. Additionally, because emergencies are evolving, e...

Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known to belong to some uncertainty set. The paper surveys the main results of RO as applied to uncertain linear, conic quadratic and semidefinite programming. For these cases, computationally tractable robust counterparts of uncerta...

An approach to constrained resource allocation for real time software components executing on nondeterministic hardware is considered. A model for resource consumption based on execution rate is investigated together with an eventbased measurement and parameter estimation scheme. Finally, an algorithm for real time constrained optimization of resources is presented together with results from a ...