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 hybrid cell evaluated genetic algorithm (CEGA) for optimization of the
dedicated remanufacturing system with simulation. The paper first summarizes the special …

Детально рассмотрен метод моделирования деятельности промышленных
предприятий. Представлен программно-технологический комплекс имитации сложных …

Construction projects with outdoor operations are affected by time-varying weather
conditions. However, most existing research on stochastic resource-constrained project …

Many practical optimization problems are subject to uncertain fitness evaluations. One way
to reduce the noise is to average over multiple samples of the fitness function in order to …

In this paper, we present an evolution strategy for the optimization of simulation models. Our
approach incorporates statistical selection procedures that efficiently select the best …

Genetic algorithms (GAs) are one of the many optimisation methodologies that have been
used in conjunction with simulation modelling. The most critical step with a GA is the …

In this paper, we consider a multi-objective simulation optimization problem with three
features: huge solution space, high uncertainty in performance measures, and multi …

Screening procedures for ranking and selection have received less attention than selection
procedures, yet they serve as a cheap and powerful tool for decision making under …

Simulation optimization studies the problem of optimizing simulation-based objectives. This
field has a strong history in engineering but often suffers from several difficulties including …