A new method was proposed for selecting constants of the modified Likhachev - Volkov microstructural model to describe reversible strain variation during isothermal martensitic transformation in Ti49Ni51 alloy. The experimental data were approximated by solving optimization problem using Nelder Mead method. set parameters found that provided best approximation. Using selected set, qualitatively...

This paper proposed a modified evolutionary technique formed by the hybridization of bee colony and Nelder–Mead Simplex search to optimize coefficients Quadrature Mirror Filter (QMF). The performance QMF can be evaluated in terms error pass-band, stop-band measure ripple. A objective function is designed this work, expressed as weighted sum errors minimized using technique. results obtained fro...

The scheduling of multi-user remote laboratories is modeled as a multimodal function for the proposed optimization algorithm. hybrid algorithm, hybridization Nelder-Mead Simplex and Non-dominated Sorting Genetic Algorithm (NSGA), named (SNSGA), to optimize timetable problem coordinate shared access. algorithm utilizes in terms exploration NSGA sorting local optimum points with consideration pot...

Regarding the high cost of PMU units, optimal placement and minimizing of their numbers are of great importance. Also, this paper proposes a new procedure for determining the optimal placement and less numbers of PMUs in distribution network based on the best state estimation criterion. For DSE solution, combination of Nelder-Mead (NM) simplex search and Ant Colony Optimization (ACO) algorithm ...

This paper presents an efficient method for designing optimal controllers. First, we established a performance index according to the system characteristics. In order ensure that this is applicable even when state/output of not within allowable range, added penalty function. When use certain controller, if remains range preset time interval, function value zero. Conversely, before termination t...

Noise models are crucial for designing image restoration algorithms, generating synthetic training data, and predicting algorithm performance. However, to accomplish any of these tasks, an estimate of the degradation model parameters is essential. In this paper we describe a parameter estimation algorithm for a morphological, binary image degradation model. The inputs to the estimation algorith...

Background: Form-error measurement is mandatory for the quality assurance of manufactured parts and plays a critical role in precision engineering. There is now a significant literature on analytical methods of form-error measurement, which either use mathematical properties of the relevant objective function or develop a surrogate for the objective function that is more suitable in optimizatio...

The advantage of 2D-3D image registration methods versus direct image-to-patient registration, is that these methods generally do not require user interaction (such as manual annotations), additional machinery or additional acquisition of 3D data. A variety of intensity-based similarity measures has been proposed and evaluated for different applications. These studies showed that the registrati...