a multi objective honey bee mating optimization (hbmo) designed by online learning mechanism is proposed in this paper to optimize the double fuzzy-lead-lag (fll) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. the proposed double fll stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...

in this paper, a mixed-integer linearized programming (minlp) model is presented to design a group layout (gl) of a cellular manufacturing system (cms) in a dynamic environment with considering production planning (pp) decisions. this model incorporates with an extensive coverage of important manufacturing features used in the design of cmss. there are also some features that make the presented...

This paper presents two hybrid architectures combining rulebased and statistical machine translation (RBMT and SMT) technology. In the first case, several existing MT engines are combined in a multiengine setup, and a decoder for SMT is used to select and combine the best expressions proposed by different engines. The other architecture uses lexical entries found using a combination of SMT tech...

In this paper, a consistent pattern with the optimal coordinated design of PSS and SSSC controller to improve the damping of low frequency oscillations is shown. In this design, sensing and signal transmission time delays are considered as effectiveness parameters. The design problem has been considered an optimization problem and biogeography-based optimization (BBO) algorithm is used for sear...

This paper analyzes a controllable discrete-time machine repair problem withL operating machines and two repairmen. The number of working servers can be adjusteddepending on the number of failed machines in the system one at a time at machine's failure orat service completion epochs. Analytical closed-form solutions of the stationary probabilities ofthe number of failed machines in the system a...

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

In this paper, we present a semi-analytical model for determining the magnetic and electromagnetic characteristics of spoke-type permanent magnet (STPM) machine considering magnet segmentation and finite soft-material relative permeability. The proposed model is based on the resolution of the Laplace’s and Poisson’s equations in a Cartesian pseudo-coordinate system with respect to the relative ...