The convergent optimization via most promising area stochastic search (COMPASS) algorithm is a locally convergent randomsearch algorithm for solving discrete optimization via simulation problems. COMPASS has drawn a significant amount of attention since its introduction. While the asymptotic convergence of COMPASS does not depend on the problem dimension, the finite-time performance of the algo...

simulation optimization is a scientific tool that is widely used to design and optimize comminution circuits in mineral processing plants. In this research, first of all, in order to  determine the suitable d80 for cicuit hydrocyclone underflow, the requiremed parameters of simulator (residence time distribution, breakage function, selection function and Plitt’s model calibration) were determin...

Computer aided MEMS optimization regarding performance, power consumption, and reliability is an important design task due to high prototyping costs. In the MEMS design flow, a variety of specialized tools is available. FEM tools (e.g. ANSYS, CFD-ACE+) are widely used for simulation on component level. Simulations on system level are carried out with simplified models using simulators like Sabe...

asimulation-optimization approach is proposed for replenishment planning andshelf space allocation. the customers’ demand is divided into fixed andvariable demand. each customer follows a given path while shopping in thestore. by dividing the store space into several zones and calculating therelated substantial and random utilities, an analytical equation is proposedfor the probability of zone ...

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...

in this paper we focus on a continuously deteriorating two units series equipment which its failure can not be measured by cost criterion. for these types of systems avoiding failure during the actual operation of the system is extremely important. in this paper we determine inspection periods and maintenance policy in such a way that failure probability is limited to a pre-specified value and ...

we use a multi-resolution analysis based on a wavelet transform to upscale a 3d fractured reservoir. this paper describes a 3d, single-phase, and black-oil geological model (gm) that is used to simulate naturally-fractured reservoirs. the absolute permeability and porosity of gm is upscaled by all the possible combinations of haar, bior1.3, and db4 wavelets in three levels of coarsening. the ap...

discrete element method (dem) is extensively used for mathematical modeling and simulating the behavior of discrete discs and discrete spheres in two and three dimensional space, respectively. prediction of particles flow regime, power draw and kinetic energy for a laboratory or an industrial mill is possible by dem simulation. in this article, a new approach was used to assess the main paramet...

This paper deals with nonlinear optimization of a stochastic system via simulation and a heuristic algorithm. These tools are used for optimization of the time parameters of the traffic lights of three junctions at Konečného square in Brno, Czech Republic, in order to reach maximum possible throughput. The objective is to minimize average waiting time in the system that might be described as an...