Stochastic optimization problems exist widely in many manufacturing and service systems.
Due to the stochastic nature, these problems usually have no analytical solutions and are …

The multiobjective simulation optimization (MOSO) problem is a nonlinear multiobjective
optimization problem in which multiple simultaneous and conflicting objective functions can …

Due to its importance in integrating facilities and smoothing supply chain, facility location
and capacity planning problem (FLCPP) is no doubt a key issue in constructing an efficient …

Existing research in ranking and selection has focused on the problem of selecting the best
design, subset selection and selecting the set of Pareto designs. Few works have addressed …

Since both visible and infrared images have their own advantages and disadvantages,
RGBT tracking plays an important role in intelligent transportation systems. The key points of …

Tabu search (TS) is a powerful method for solving combinatorial optimization problems.
However, when TS is adopted for stochastic simulation optimization, the simulation noises …

This paper is concerned with the efficient estimation of the risk measure of a system where
the estimation requires solving a two-stage simulation optimization problem. The first stage …

This research develops an efficient ranking and selection procedure to select the best
design for terminating simulation under sequential sampling. This approach enables us to …

Real-time decision making has acquired increasing interest as a means to efficiently
operating complex systems. The main challenge in achieving real-time decision making is to …

This study aims to develop an efficient budget allocation procedure for the problem of
selecting an optimal subset of designs from a finite number of alternative designs in …