Simulation optimization (SO) refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …

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 …

Metaheuristics are general algorithmic frameworks, often nature-inspired, designed to solve
complex optimization problems, and they are a growing research area since a few decades …

The buffer allocation problem is an NP-hard combinatorial optimization problem and it is an
important research issue in designing manufacturing systems. The problem deals with …

Flow production lines with finite buffer capacities are used in practice for mass production,
eg, in the automotive and food industries. The decision regarding the allocation of buffer …

Simulation optimization refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …

In this article, an empirical analysis of experimental design approaches in simulation-based
metamodelling of manufacturing systems with genetic programming (GP) is presented. An …

Stochastic effects exist in a great number of manufacturing system operation problems.
Simulation optimization methods are widely used for tackling the stochasticity. In order to …

Optimizing the configuration of a complex production line is an NP-hard problem in various
machine settings. Solving real-life-size instances of this problem becomes a more common …

Simulation optimization is a very powerful tool in analysis and optimization of complex real
systems. In this paper, a tutorial introduction and review of simulation optimization are given …