Artificial intelligence methods and search techniques such as simulated annealing and simultaneous perturbation can be used in simulation optimization of complex stochastic systems. Simultaneous perturbation has also been applied in the area of neural networks. Simulation optimization methods are often used when it is difficult to obtain the closed form of the objective function, but it is poss...

A common technique for groundwater management modeling is the Finite-Element method. Optimizing these complex models often implies many hundreds of model simulations and due to the time consuming simulation runs this leads to an impracticable runtime of the optimization process even on modern computation resources. In this paper an approach is presented to use a grid infrastructure to calculate...

Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...

Dow AgroSciences has improved its bottom line by using simulation-based optimization to reduce the time and expense of moving a portfolio of products to market. We examined mathematical programming approaches for scheduling new-product development but found that the solution of these formulations is intractable for problems of practical size that include resource constraints. We developed a sim...

A modular web-based approach for simulation-based optimization of multi-physics systems is described. The basic principle is the flexible coupling of an optimization toolbox with a variety of simulators via LAN or Internet. The structure and basic solutions for tool integration, communication, and user interaction are discussed. For a practical optimization task the usability of the approach is...

The aim of this paper is to investigate a novel approach for output feedback damping controller design ofSTATCOM in order to enhance the damping of power system low frequency oscillations (LFO). The design ofoutput feedback controller is considered as an optimization problem according with the time domain-basedobjective function which is solved by a honey bee mating optimization algorithm (HBMO...

When using optimization techniques based on mathematical models, we often need to make important simplifications. The solution thus provided, even if proven to be theoretically one of the best, might not be so good in practice. Simulation can be used to evaluate the actual performance of the solution. We propose here a coupling between optimization and simulation that tries to improve the solut...

The merging of optimization and simulation technologies has seen a rapid growth in recent years. A Google search on “Simulation Optimization” returns more than six thousand pages where this phrase appears. The content of these pages ranges from articles, conference presentations and books to software, sponsored work and consultancy. This is an area that has sparked as much interest in the acade...

Aircraft noise is a major obstacle to the growth of aviation. This thesis presents an adaptive onboard real-time optimization algorithm and an Air Traffic Control simulation model that can minimize the aircraft approach noise and meet air traffic control targets and restrictions. The adaptive real-time optimization algorithm uses dynamic programming, nonlinear optimization, and receding horizon...

The merging of optimization and simulation technologies has seen a rapid growth in recent years. A Google search on “Simulation Optimization” returns more than six thousand pages where this phrase appears. The content of these pages ranges from articles, conference presentations and books to software, sponsored work and consultancy. This is an area that has sparked as much interest in the acade...