We consider the Nelder-Mead (NM) simplex algorithm for optimization of discrete-event stochastic simulation models. We propose new modifications of NM to reduce computational time and to improve quality of the estimated optimal solutions. Our means include utilizing past information of already seen solutions, expanding search space to their neighborhood and using adaptive sample sizes. We compa...

A new method for locating hazardous gas source based on unmanned vehicles is presented in this paper. Based the sensors and vehicles, research location algorithm, using concentration of several detection sites as heuristic information, carried out. When available information less, such that diffusion model unknown, algorithm can locate leakage quickly. The proposed combines particle swarm optim...

Optimal design of Oxygen production system along with rate, pressure in storage tank, compressor power and tank volume constraints were formulated this study. In optimization the handled by using exterior penalty functions. The derivative free methods used for problem. basically designed unconstrained problems. optimum results model obtained MATLAB programming environment which demonstrated eff...

Design of experiments (DOE) offers a great deal of benefits to any manufacturing organization, such as characterization of variables and sets the path for the optimization of the levels of these variables (settings) trough the Response surface methodology, leading to process capability improvement, efficiency increase, cost reduction. Unfortunately, the use of these methodologies is very limite...

Methods The T1 & T2 mapping modules were implemented in Segment [3] and support the pulse sequence types shown in Table 1. T1 estimates were initialized by a lookup table search in an interval of 0-4000 ms and a 5 ms gap between entries. T2 estimates were initialized by linear regression to the signal logarithm. Relaxation time estimates were refined using a C-implementation of the Nelder-Mead ...