Many combinatorial optimization problems (COPs) encountered in real-world logistics,
transportation, production, healthcare, financial, telecommunication, and computing …

For several decades, simulation has been used as a descriptive tool by the operations
research community in the modeling and analysis of a wide variety of complex real systems …

Simulation optimization has received considerable attention from both simulation
researchers and practitioners. In this study, we develop a solution framework which …

This paper presents a new methodology to solve multi-response statistical optimization
problems. This methodology integrates desirability function and simulation approach with a …

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

We propose an optimization-via-simulation algorithm for use when the performance
measure is estimated via a stochastic, discrete-event simulation, and the decision variables …

The paper presents a case study application of a cancer treatment center facility. A
simulation model was created and integrated to a multi-objective optimization heuristic …

This chapter provides a brief review of random search methods for simulation optimization.
We start by describing the structure of random search when system performance is …

Many critical or even life-saving healthcare resources such as cadaveric donor organs are
scarce. Upon procurement of such resources, some priority rule is applied to make the …

This study focused on increasing productivity and efficiency in a Cancer Clinic (CC) taking
into consideration mental workload. The demand of the clinic has increased and the clinic …