Abstract
Tuning of algorithm parameters is a complex but very important issue in the design of Evolutionary Algorithms. This paper discusses a new concept of mutation size tuning in Evolutionary ...Strategies. The proposed algorithm uses data on evolutionary history in earlier generations to tune the mutation size. A Fuzzy Logic Part examines this historical data and tunes the mutation size of individuals to improve the algorithm’s convergence and its resistance to getting stuck in a local optimum. The Fuzzy Logic Part tunes the mutation size and keeps an appropriate relation of algorithm’s exploration and exploitation. The proposed concept is discussed, and several tests on Function Optimization Problems are performed. In tests, we use a set of data and functions with different difficulties recommended in the commonly used benchmarks. The results of experiments suggest that the proposed method is more efficient and resistant to getting stuck in suboptimal solutions. The proposed algorithm has been used in recognizing the type of ultra-high energy cosmic ray particle that initiates the Extensive Air Showers when hit the Earth atmosphere. It could be used for a wide range of similar problems. It is possible that the proposed method could be adapted to other types of optimization methods, inspired by natural evolution, for example, Evolutionary Algorithms.
The article presents a Hybrid Multi-Evolutionary Algorithm designed to solve optimization problems. The Genetic Algorithm and Evolutionary Strategy work together to improve the efficiency of ...optimization and increase resistance to getting stuck to sub-optimal solutions. Genetic Algorithm and Evolutionary Strategy can periodically exchange the best individuals from each other. The algorithm combines the ability of the Genetic Algorithm to explore the search space and the ability of the Evolutionary Strategy to exploit the search space. It maintains the right balance between the exploration and exploitation of the search space. The results of the experiments suggest that the proposed algorithm is more effective than the Genetic Algorithms and Evolutionary Strategy used separately, and can be an effective tool in solving complex optimization problems.
This publication presents the impact of PM10, PM2.5, and cloudiness on the power that is generated by photovoltaic panels—the actual photovoltaic power was measured. Weather parameters that were ...recorded by a weather station were taken into account, and the dependencies between the weather parameters and the power that was generated by PV panels were determined. This study was based on actual data from a solar cell set and was designed to allow a certain size of a PV system to be able to supply power to a given load. For the entire measurement year, data on PM10, PM2.5, cloudiness, and generated power were collected; by using a genetic algorithm, the influence of the environmental parameters on the power that was generated by the PV panels was calculated. The research shows the influence of anthropogenic factors on the power that is generated by PV panels. It was observed that PM2.5 and PM10 air pollution decreased the power by about 16% among the analyzed factors as they were related to cloudiness. The impact of the pollution was stable over the year in the analyzed location.
This paper presents a method for preparing a pressure sensor that is insensitive to acceleration along with experimental evidence of its efficacy in aerodynamic analysis. A literature review and ...preliminary studies revealed the undesirable effect of acceleration on sensors that are located on moving elements, as evidenced by deviations from actual pressure values for piezoresistive pressure sensors that are made using MEMS technology. To address this, the authors developed a double-membrane sensor geometry that eliminated this imperfection; a method of implementing two solo pressure sensors as a new geometry-designed sensor was also proposed. Experimental tests of this suggested solution were conducted; these measurements are presented here. The results indicated that this new sensor concept could be used to measure the dynamic pressures of rotating and moving objects in order to obtain measurement results that are more reliable and closer to the true values that are derived from aerodynamic analyses. The published results confirm the reliability of the proposed device.
This paper presents results of experimental investigations and numerical simulations of a vertical-axis H-type wind turbine, considering the influence of propeller blade pitch angle on turbine ...characteristics. An innovative airfoil profile based on a modified symmetric NACA0015 airfoil profile was used as the designed blade profile, which was tested in a wind tunnel over a range of Reynolds numbers from 50,000 to 300,000. The phenomenon of angle-of-attack variation and the resulting forces acting on the blades, particularly in the horizontal configuration and vertical axis of rotation, were discussed. Series of experiments were conducted on a 1:1 scale four-bladed turbine model in the wind tunnel to determine the characteristics, specifically the power coefficient distribution over the tip speed ratio for various Reynolds numbers and blade pitch angles. Subsequently, the turbine was modeled using Qblade software, and a series of calculations were performed under the same conditions. The numerical results were validated with the experimental data.
The standard first level triggers in the surface detectors analyzing data in the field-programmable gate array (FPGA) just after the digitization in analog to digital converters (ADCs) of the Pierre ...Auger Observatory were developed when FPGA was relatively simple and additionally expensive. A huge progress in electronics allows an implementation of very sophisticated mathematical algorithms in very powerful (a lot of FPGA fabric, embedded memories, and digital signal processing (DSP) blocks with very fast embedded multipliers) and relatively inexpensive FPGAs. A fuzzy logic (FL) is an alternative approach for a trigger based on a discrete cosine transform or artificial neural networks developed for the surface detector of the Pierre Auger Observatory. The aim of this article is to report on the trigger design that would allow one to distinguish the signal profiles from the Auger photo-multipliers (PMTs) of the water Cherenkov detectors originating from the neutrino-induced atmospheric showers with a high background of the proton showers. The algorithm has been successfully implemented in CycloneV and Arria10 FPGAs with reasonable resource occupancy and sufficient margin of a registered performance by 120 MHz sampling frequency. The FL trigger may support existing triggers in the Auger surface detector being optimized to identify neutrino-generated showers.
Reactivity costs in MARIA reactor Marcinkowska, Zuzanna E.; Pytel, Krzysztof M.; Frydrysiak, Andrzej
Annals of nuclear energy,
January 2017, 2017-01-00, 20170101, Letnik:
99
Journal Article
Recenzirano
•The methodology for calculating consumed fuel cost of excess reactivity is proposed.•Correlation between time integral of the core excess reactivity and released energy.•Reactivity price gives ...number of fuel elements required for given excess reactivity.
For the reactor operation at high power level and carrying out experiments and irradiations the major cost of reactor operation is the expense of nuclear fuel. In this paper the methodology for calculating consumed fuel cost-relatedness of excess reactivity is proposed. Reactivity costs have been determined on the basis of operating data. A number of examples of calculating the reactivity costs for processes such as: strong absorbing material irradiation, molybdenium-99 production, beryllium matrix poisoning and increased moderator temperature illustrates proposed method.
A fuzzy logic trigger is an alternative approach to triggering a discrete cosine transform or a trigger based on artificial neural networks developed for the surface detector of the Pierre Auger ...Observatory. The aim of the article is to report on the development of estimators that would allow one distinguishing the signal profiles from the Auger photomultipliers of the water-Cherenkov detectors originating from the neutrino-induced atmospheric showers with a high background of the proton showers. Fuzzy Logic Toolbox provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating systems based on fuzzy logic. The next step is to implement trace recognition algorithms in the FPGA structure to generate a real-time trigger with reasonable use of FPGA resources and with sufficient time margin for 120 MHz sampling. The fuzzy logic trigger will support existing triggers in the Auger surface detector but is optimized to identify neutrino-generated showers. The next step in our research is the simulation of electromagnetic and hadronic cascades in the atmosphere, the propagation of Cherenkov light in the water detector, and the digitalization of the signals in the ADC if the preliminary results obtained from the artificially generated profiles are satisfactory.
The publication presents an assessment of the impact of meteorological conditions on air quality in a given location. The subject matter of the work is related to problem-review issues in the field ...of environmental protection and energy management. The publication draws attention to the fact that despite several decades of ecological monitoring of air pollution, only in recent years attention has been paid to the scale of air pollution problem. The study examined the relationship between meteorological elements (wind velocity, relative humidity on the amount of air pollution immissions. Significant impact of precipitation, atmospheric pressure and thermal braking layer was indicated. The possibilities of air quality improvement were presented based on the measurement data concerning the immission of impurities.
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