scholarly journals Parametric Analysis of BFOA for Minimization Problems Using a Benchmark Function

Enfoque UTE ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 67-80
Author(s):  
Dannyll Michellc Zambrano Zambrano ◽  
Darío Vélez ◽  
Yohanna Daza ◽  
José Manuel Palomares

This paper presents the social foraging behavior of Escherichia coli (E. Coli) bacteria based on Bacteria Foraging Optimization algorithms (BFOA) to find optimization and distributed control values. The search strategy for E. coli is very complex to express and the dynamics of the simulated chemotaxis stage in BFOA is analyzed with the help of a simple mathematical model. The methodology starts from a detailed analysis of the parameters of bacterial swimming and tumbling (C) and the probability of elimination and dispersion (Ped), then an adaptive variant of BFOA is proposed, in which the size of the chemotherapeutic step is adjusted according to the current suitability of a virtual bacterium. To evaluate the performance of the algorithm in obtaining optimal values, the resolution was applied to one of the benchmark functions, in this case the Ackley minimization function, a comparative analysis of the BFOA is then performed. The simulation results have shown the validity of the optimal values (minimum or maximum) obtained on a specific function for real world problems, with a function belonging to the benchmark group of optimization functions.

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Qiang Yan ◽  
Lianren Wu ◽  
Lanli Yi

Through analyzing the data about the releases, comment, and forwarding of 120,000 microblog messages in a year, this paper finds out that the intervals between information releases and comment follow a power law; besides, the analysis of data in each 24 hours reveals obvious differences between microblogging and website visit, email, instant communication, and the use of mobile phone, reflecting how people use fragments of time via mobile internet technology. The paper points out the significant influence of the user's activity on the intervals of information releases and thus demonstrates a positive correlation between the activity and the power exponent. The paper also points out that user's activity is influenced by social identity in a positive way. The simulation results based on the social identity mechanism fit well with the actual data, which indicates that this mechanism is a reasonable way to explain people's behavior in the mobile Internet.


Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 348
Author(s):  
Sahar Magri Elouadjeri ◽  
Aicha Boussoualim ◽  
Hassan Ait Haddou

The present study investigates the effect of fixed external shading devices’ geometry on thermal comfort, daylighting and energy demand for cooling and heating in the hot and dry climate of the city of Ghardaïa (Algeria). A parametric analysis was performed by using three software: RADIANCE 2.0 and DAYSIM 3.1 for daylighting simulation and TRNSYS.17 for thermal dynamic simulation. Three shading device parameters were assessed: the spacing between slats, the tilted angle and the slats installation. The vertical shading angle “VSA” is fixed; it is equal to the optimum shading angle measured for Ghardaïa. The simulation results indicate that fixed external shading devices have a significant impact on decreasing the energy demand for cooling; however, they are unable to reduce the total energy demand since they significantly increase heating loads. It was found that fixed external shading devices remove all risks associated with glare in summer by decreasing illuminance close to the window; however, they do not improve daylighting performance in winter because of glare. We note that even if the vertical shading angle “VSA” was the same for all cases, these did not present the same thermal and luminous behavior. This is mainly due to the amount and the way that the solar radiation penetrates space.


2019 ◽  
Vol 14 (2) ◽  
pp. 170-178
Author(s):  
Ivan Georgievich Seregin ◽  
Dmitry Vladimirovich Nikitchenko ◽  
Leonid Borisovich Leontiev ◽  
Olga Andreevna Akulich

The work is devoted to the improvement of laboratory control of cow butter, which is sold in the chain stores and markets. The social relation of buyers to butter, its range in various retailers are studied, and samples of the butter, acquired in chain stores and markets of Moscow and Vladimir, are investigated. During microbiological studies, the presence of E. coli in the butter “Krestianskoe” was established, which does not meet the safety requirements of this product. In addition, in this butter was revealed a reduced content of milk fat 71.5% instead of 72.5%. Butter “Shokoladnoe” of the “Krestianskoe” trademark had only 60% of fat content, instead of the declared 62%. The packaging of this oil is marked with a distorted label according to the shelf life and storage conditions, which indicates information falsification. There is a mismatch in selected samples with the requirements of GOST and the stated indicators, which indicates the need to develop additional methods for identifying various fakes in butter. It was determined that by melting butter in hot water, by microscopying a product using a compressor or by irradiating the surface of butter with UV rays, it is possible to quickly and reliably identify some of its falsifications.


Author(s):  
Magda Foti ◽  
Manolis Vavalis

This paper has two aims. Firstly, to briefly present overall objectives and expected outcome of an on-going effort concerning design, implementation and the analysis of next generation energy systems based on anticipatory control and a set of ICT emerging technologies and innovations. Secondly, to describe an early proof-of-concept implementation and the associated experimentation of a simulation platform focused on holistic detailed studies of electric energy markets. The proposed platform allows us to elucidate issues related to the open and smart participation of producers and consumers on large-scale e-markets. Based on an existing simulation system, the authors present the required theoretical studies, the enabling technologies, and the practical tools that contribute to the development of such a platform capable of truly large scale simulations. Elements of game theory are utilized to solve the optimization problem related to the maximization of the social welfare of producers and consumers. Selected simulation results associated with the basic required characteristics are presented.


2018 ◽  
Vol 14 (6) ◽  
pp. 155014771878237
Author(s):  
Wenbiao Tian ◽  
Guosheng Rui ◽  
Daoguang Dong ◽  
Jian Kang

This article introduces a new algorithm that constructs an efficient search strategy, called parallel search, for blind adaptive Karhunen–Loéve transform. Unlike anterior Karhunen–Loéve transform, the proposed algorithm converges quickly by searching for solutions in different directions simultaneously. Moreover, the process is “blind,” which means that minimal information about the original data is used. The new algorithm also avoids repeating the Karhunen–Loéve transform basis learning step in data compression applications. Numerical simulation results verify the validity of the theory and illustrate the capability of the proposed algorithm.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Kashif Zia ◽  
Arshad Muhammad ◽  
Abbas Khalid ◽  
Ahmad Din ◽  
Alois Ferscha

Internet of Vehicles (IoV) is turning out to be one of the first impressive examples of Internet of Things (IoT). In IoV, the factors of connectivity and interaction/information dispersion are equally important as sensing/actuating, context-awareness, services provisioning, etc. However, most of the researches related to connectivity and interaction are constrained to physics of signaling and data science (semantics/contents), respectively. Very rapidly, the meanings of these factors are changing due to evolution of technologies from physical to social domain. For example, Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. Hence, in addition to physical aspects, the social aspects of connectivity and information dispersion towards these systems of future should also be researched, a domain so far ignored in this particular context. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts the dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves due to incremental interactions, the recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.


2012 ◽  
Vol 549 ◽  
pp. 908-913 ◽  
Author(s):  
Yu Peng Xu ◽  
Li Jie Cui ◽  
Xin Xin Ren ◽  
Wei Ge ◽  
Wei Gang Lin

Understanding the heat transfer among particles with uneven temperature distribution is a key to powder processing. In this work, the discrete element method (DEM) is used to optimize the interior structure of a particle mixer with multiple baffles to achieve better heat transfer between two particulate materials. The simulation results show that optimal values exist for the number of baffles and their widths, slope angles and spacing to enhance heat transfer. The results are helpful to the design of a variety of process such as the ultra-fast pyrolysis in “coal topping”.


1998 ◽  
Vol 52 (1) ◽  
pp. 134-138 ◽  
Author(s):  
Yutaka Goto

“Generalized” interpolation (called GIα here) of fast Fourier transform (FFT) spectra apodized by a family of sinα ( X) windows has previously been proposed. The GIα gives the highly accurate interpolated frequency by calculating the simple formula of frequency determination with the use of two squared ratios between three magnitudes nearest to the peak maximum on the apodized FFT spectrum. Although the value of window parameter α, limited to integer values, has been used for the GIα, we show in the present paper that the GIα with a real α value also gives an extremely good estimate of the true frequency from the sinα ( X)-apodized spectra. Thus, we intend to apply the GIα with the optimal values of α to FFT spectra apodized by any other window functions that are often used in Fourier spectroscopy. Simulation results show that the GIα is easier and more accurate than the KCe interpolation, which uses a family of interpolating functions [ KCe(ω) = ( aω2 + bω + c)e] proposed by Keefe and Comisarow. Finally, in the presence of noise we examine effects of damping and windowing on the frequency interpolation of FFT spectra. Because damping and windowing reduce the signal-to-noise ratio (SNR), we define anew the relative SNR by the ratio of the SNR of the apodized spectrum of a damped sinusoid to the SNR of the unapodized spectrum of an undamped sinusoid. Numerical calculation shows that the relative SNR varies, owing to damping rather than windowing. In fact, the observed frequency error roughly increases as the damping ratio increases for any window functions, as is expected from our previous investigation that the frequency error based upon the GIα is inversely proportional to the SNR. However, no obvious differences between the various window functions are observed in the presence of noise.


2013 ◽  
Vol 433-435 ◽  
pp. 599-602
Author(s):  
Rui Ma ◽  
Yan Cheng Liu ◽  
Chuan Wang

One approach to extend the network lifetime is to divide the deployed sensors into disjoint subsets of sensors, or sensor covers, such that each sensor cover can cover all targets and work by turns. The more sensor covers can be found, the longer sensor network lifetime can be prolonged.This study propose a novel hybrid genetic algorithm (NHGA) comprising both basic generic operations with a fitness-improving local-search strategy to divide all wireless sensor nodes into a maximum number of disjoint set covers (DSCs). The simulation results show that NHGA outperforms the existing methods by generating more disjoint set covers and prolongs network lifetime.


Author(s):  
B.Siva Prasad ◽  
P. Mallikarjuna Rao

The design and analysis of a T-Stub U-Slot Frequency Reconfigurable Notch band antenna is considered in the present work using Coplanar Waveguide feed network for an efficient power transfer to improve the bandwidth characteristics of the antenna. The designed antenna has a dimension of 24X21X1.6 mm with FR4 substrate having a permittivity of 4.4. The proposed antenna consists of a T-Stub and U-Slots which are used to enhance the performance characteristics of the antenna. The reconfigurability is achieved by placing PIN diodes at T-Stub and U-Slots of the antenna design. The designed antenna is more suitable for WLAN, Wi-Fi, LTE and Bluetooth applications. Simulation results are obtained using CST tool and the same are presented at the end.


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