Simulation optimization today is an important branch in the field of heuristic optimization problems. Several simulators include built-in optimization and several companies have emerged that offer optimization strategies for different simulators. Often the optimization strategy is a secret and only sparse information is known about its inner workings. In this paper we want to demonstrate how th...

Faculty of Symbiotic Systems Science, Fukushima University, Fukushima City, 960-1296, Japan This paper focuses on efficiency of simulation-based optimization for container terminal operation system. Firstly, the discrete-event simulation model of multimodal operation system on container terminal was presented with the queuing network, for which the mathematical optimization model of resource al...

With the growing use of computer modeling and simulation, in all aspects of engineering, the scope of traditional optimization has to be extended to include simulation models. Some unique aspects have to be addressed while optimizing via stochastic simulation models. The optimization procedure has to explicitly account for the randomness inherent in the stochastic measures predicted by the mode...

Dynamic optimization based on simulation is extremely time consuming. The quest for the optimal solution requires a vast number of iterations. Since the simulation is performed at each iteration step, the decrement of the simulation time becomes crucial. This paper presents the development of simulation models for dynamic optimization. The area of interest is paper and pulp industry. The keywor...

With progress in mineral processing technologies, particle size classification equipment has also been changed to satisfy the needs of modern plants. Accordingly, design, manufacturing and utilizing of banana screens in mineral processing plants have led to increased screening efficiency at industrial scale. Banana screen is an important invention occurred in past decade which increases screeni...

Numerical simulation technology has been used widely in plastic forming area. However, the simulation of increasingly complex forming process leads to the generation of vast quantities of data, which implies much useful knowledge. Consequently domain knowledge is very significant to product design and process development in metal plastic forming area. The paper presented a new robust optimizati...

“Stochastic simulation optimization” (often shortened as simulation optimization) refers to stochastic optimization using simulation. Specifically, the underlying problem is stochastic and the goal is to find the values of controllable parameters (decision variables) to optimize some performance measures of interest, which are evaluated via stochastic simulation, such as discrete-event simulati...

in this study, hydrus2d/3d software was used to estimate the hydraulic parameters of van genuchten-mualem model via inverse modeling using double-ring infiltrometers data in 3 different soil textures. nine scenarios of inverse modeling (divided in three groups) were considered with different number (5, 4 and 3) of fitted hydraulic parameters for optimization. in the first group, simulation was ...

The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-based investigations are common approaches in simulation and optimization. Sequential parameter optimization has been developed, because there is a strong need for sound statistical analysis of simulation and optimizat...