In this paper we address the problems of routing and scheduling in resource-limited ad hoc wireless networks supporting connectionless traffic. Motivated by the novel challenges and trade-offs introduced by ad hoc wireless networks, we propose link metric-based distributed routing and scheduling algorithms. We consider limited transceiver, energy and unlimited bandwidth conditions and our perfo...

Scheduling is a critical and challenging task in manufacturing systems, especially in largescale complex systems like wafer fabrication facilities. Although evolutionary algorithms (EAs) have demonstrated many successful applications in the field of manufacturing scheduling, there are very few studies on scheduling of wafer fabs using EAs. Dispatching rules are one of the most common techniques...

nowadays, it’s very usual to use these models in almost all sciences. use of these models has provided quick, appropriate and economic answers to many questions. modeling is developing in different fields of agriculture, including irrigation and drainage. field tests are useful to determine and analyze the different irrigation management but there are significant limitations. the most important...

in this paper semi-markov models are used to forecast the triple dimensions of next earthquake occurrences. each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. semi-markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. in semi-markov models each zone can be considered as a state...

Service descriptions based on type hierachies and abstract service states ruling the availability of operations permit more secure service combinations in distributed systems design than traditional signatures. The advantages of these additional information about services can also be utilized to make service scheduling more robust and efficient. A framework for scheduling such services is intro...

In the framework of Linear Parameter-Varying (LPV) systems, controllers are commonly designed in continuous-time, but implemented on digital hardware. Additionally, LPV system identification is formulated exclusively in discrete-time, needing structural information about the plant, which is often provided by first principle continuous-time models. These imply that LPV system discretization is a...

This paper describes an agent based approach to patient scheduling using experience based learning and an integer programming model. The evaluation on different learning techniques shows that the experience based learning (EBL) provides a better solution. The time required to process a particular job is reduced as the experience processed by it increases. The processing time can be calculated w...

The real-time community is devoting considerable attention to exible scheduling and adaptive systems. One popular means of increasing the exibility, and hence eeectiveness, of real-time systems is to use value-based scheduling. It is surprising however, how little attention has been devoted, in the scheduling eld, to the actual assignment of value. This paper deals with value assignment and pre...

In the area of optimization of public transportation there are several methods for modeling and solving vehicle and driver scheduling problems. We designed a sequential heuristic method for solving the combined (vehicle and driver scheduling) problem. Our model is based on a modification of the vehicle schedules to satisfy driver requirements. We introduced a driver friendly approach of the opt...