9,469 research outputs found
A novel fuzzy adaptive teaching–learning‑based optimization (FATLBO) for solving structural optimization problems
This paper presents a new optimization algorithm called fuzzy adaptive teaching–learning-based optimization (FATLBO) for solving numerical structural problems. This new algorithm introduces three new mechanisms for increasing the searching capability of teaching–learning-based optimization namely status monitor, fuzzy adaptive teaching–learning strategies, and remedial operator. The performance of FATLBO is compared with well-known optimization methods on 26 unconstrained
mathematical problems and five structural engineering design problems. Based on the obtained results, it can be concluded that FATLBO is able to deliver excellence and competitive performance in solving various structural optimization problems
Laparoscopy Pneumoperitoneum Fuzzy Modeling
Abstract: Gas volume to intra-peritoneal pressure fuzzy modeling for evaluating pneumoperitoneum in videolaparoscopic surgery is proposed in this paper. The proposed approach innovates in using fuzzy logic and fuzzy set theory for evaluating the accuracy of the prognosis value in order to minimize or avoid iatrogenic injuries due to the blind needle puncture. In so doing, it demonstrates the feasibility of fuzzy analysis to contribute to medicine and health care. Fuzzy systems is employed here in synergy with artificial neural network based on backpropaga tion, multilayer perceptron architecture for building up numerical functions. Experimental data employed for analysis were collected in the accomplishment of the pneumoperitoneum in a random population of patients submitted to videolaparoscopic surgeries. Numerical results indicate that the proposed fuzzy mapping for describing the relation from the intra peritoneal pressure measures as function injected gas volumes succeeded in determinining a fuzzy model for this nonlinear system when compared to the statistical model
Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm
Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building. A multi-objective genetic algorithm (MOGA) was used to optimize the ANFIS+GA controller. Two MR dampers were used as multiple control devices and a scaled five-story building model was selected as an example structure. A fuzzy control algorithm was compared with the proposed ANFIS and ANFIS+GA controller. Adaptive neuro-fuzzy inference system (ANFIS) and Ganetic algorithm with several outputs was proposed. In case study, after numerical simulation, it has been verified that the ANFIS control algorithm can present better control performance compared to the fuzzy control algorithm in reducing both displacement and acceleration responses
Global sensitivity analysis based on DIRECT-KG-HDMR and thermal optimization of pin-fin heat sink for the platform inertial navigation system
In this study, in order to reduce the local high temperature of the platform
in inertial navigation system (PINS), a pin-fin heat sink with staggered
arrangement is designed. To reduce the dimension of the inputs and improve the
efficiency of optimization, a feasible global sensitivity analysis (GSA) based
on Kriging-High Dimensional Model Representation with DIviding RECTangles
sampling strategy (DIRECT-KG-HDMR) is proposed. Compared with other GSA
methods, the proposed method can indicate the effects of the structural and the
material parameters on the maximum temperature at the bottom of the heat sink
by using both sensitivity and coupling coefficients. From the results of GSA,
it can be found that the structural parameters have greater effects on thermal
performance than the material ones. Moreover, the coupling intensities between
the structural and material parameters are weak. Therefore, the structural
parameters are selected to optimize the thermal performance of the heat sink,
and several popular optimization algorithms such as GA, DE, TLBO, PSO and EGO
are used for the optimization. Moreover, steady thermal response of the PINS
with the optimized heat sink is also studied, and its result shows that the
maximum temperature of high temperature region of the platform is reduced by
1.09 degree Celsius compared with the PINS without the heat sink.Comment: 34 pages, 18 figures, 5 table
SciTech News Volume 71, No. 2 (2017)
Columns and Reports From the Editor 3
Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division 9 Aerospace Section of the Engineering Division 12 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 14
Reviews Sci-Tech Book News Reviews 16
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