A publication by Albritton, McMullen, and Gardiner (2003) indicates that while MBA-level Management Science/Operations Research courses have been deemphasized in recent years, they continue to survive—typically as part of a quantitative modeling class, which includes both statistical analysis and optimization components. The Albritton research effort presents survey results indicating that MBA-...

This paper presents two optimal approaches of two-stage fuzzy controller for traffic signals at isolated intersections. Firstly, in the light that traffic status variables in two-stage controller leads to the inefficiency of traffic status weakening under low traffic flow, a two-stage combination fuzzy controller is designed from the perspective of structural optimization; this controller intro...

For high performance CDMA communications, multiuser detection is often required to suppress the multiple access interference (MAI). Most multiuser detectors rely on accurate channel information to recover the multiuser digital signals. This paper studies the blind channel estimation problem for DS-CDMA systems using aperiodic spreading codes. The Maximum Likelihood (ML) estimator is formulated ...

In cognitive radio networks, allocation of the sensing duration is of critical importance for efficient spectrum sensing. Conventional optimization of sensing duration is limited in two primary channels as well as same constant thresholds for all the primary channels. In this paper, we consider multiple primary channels and formulate the problem of sensing duration allocation as a convex optimi...

Simulation optimization studies the problem of optimizing simulation-based objectives. Simulation optimization is a new and hot topic in the field of system simulation and operational research. To improve the search efficiency, this paper presents a hybrid approach which combined genetic algorithm and local optimization technique for simulation optimization problems. Through the combination of ...

Optimization problems occur in system designs with simulation applications. The decision variables are controllable system parameters of interest and the objective function is a system performance measure that can be estimated via simulation experiments. Using the estimates of objective function values to find the optimal point is called the stochastic optimization problem. The literature of su...

HYPENS is an open source tool to simulate timed discrete, continuous and hybrid Petri nets. It has been developed in Matlab to allow designer and user to take advantage of several functions and structures already defined in Matlab, such as optimization routines, stochastic functions, matrices and arrays, etc. The tool can also be easily interfaced with other Matlab programs and be used for anal...

We address several aspects related to managing re-entrant lines in a uni ed manner { capacity allocation, inventory management and production control. Our approach to study these systems is through simulation based optimization. Simulation o ers the exibility to model the complexities adequately while the gradient computation (via In nitesimal Perturbation Analysis) helps identify good solution...

This paper presents an optimization-based method to aid capacity planning decisions by quantifying the trade-off between the capital and operating costs of a production facility and the quality of finished products. Given forecasted market demands during multiple production periods, multi-objective optimization selects the quantity and the types of production machines to be purchased during eac...