Vol. 24, No. 2

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Recent Submissions

Now showing 1 - 5 of 12
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    The Possibility of Interference Suppression by Correlation Receiver Applied to Marker Localization
    (Institute of Automation and Computer Science, Brno University of Technology, 2018-12-21) Vestenicky, Peter; Vestenicky, Martin
    The actual applications of the radiofrequency identification (RFID) systems in industry are focused not only on the identification but also on the localization of the RFID transponders. The special type of the RFID transponders is used to localize and to identify the underground facility networks such as pipes and cables. In such applications the RFID transponders are called markers. The paper describes an analysis of the correlation receiver for RSSI based localization of the inductive coupled RFID markers. The analysis is performed by the modeling of the localization device and the marker in Matlab – Simulink software. The aim of the analysis is to examine the ability of the correlation receiver to suppress the interfering signals from industrial sources, for example from the long wave telemetry transmitters which have their working frequencies in the same band as the working frequencies of the markers.
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    Particle Swarm Optimization with Distance Based Repulsivity
    (Institute of Automation and Computer Science, Brno University of Technology, 2018-12-21) Pluhacek, Michal; Zelinka, Ivan; Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas
    In this study, we propose a repulsive mechanism for the Particle Swarm Optimization algorithm that improves its performance on multi-modal problems. The repulsive mechanism is further extended with a distance-based modification. The results are presented and tested for statistical significance. We discuss the observations and propose further directions for the research.
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    Influence of Experiment Design in GPA Investigating with Respect to PRNGs
    (Institute of Automation and Computer Science, Brno University of Technology, 2018-12-21) Brandejsky, Tomas
    This paper analyses the influence of experiment parameters onto the reliability of experiments with genetic programming algorithms. The paper is focused on the required number of experiments and especially on the influence of parallel execution which affect not only the order of thread execution but also behaviors of pseudo random number generators, which frequently do not respect recommendation of C++11 standard and are not implemented as thread safe. The observations and the effect of the suggested improvements are demonstrated on results of 720,000 experiments.
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    Two-Degree-of-Freedom Controller Tuning
    (Institute of Automation and Computer Science, Brno University of Technology, 2018-12-21) Lang, Stanislav; Matousek, Radomil; Svarc, Ivan
    Two-degree-of-freedom controllers have the ability to affect the dynamics of a system when the reference value changes. The answer to the question of parameter tuning for this additional lter still remains unclear we describe a new method for the design of said controller. We compare the behaviour of the controllers designed using the presented method versus the classic method on several instances.
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    Differential Evolution and Deterministic Chaotic Series: A Detailed Study
    (Institute of Automation and Computer Science, Brno University of Technology, 2018-12-21) Senkerik, Roman; Viktorin, Adam; Zelinka, Ivan; Pluhacek, Michal; Kadavy, Tomas; Kominkova Oplatkova, Zuzana; Bhateja, Vikrant; Satapathy, Suresh Chandra
    This research represents a detailed insight into the modern and popular hybridization of deterministic chaotic dynamics and evolutionary computation. It is aimed at the influence of chaotic sequences on the performance of four selected Differential Evolution (DE) variants. The variants of interest were: original DE/Rand/1/ and DE/Best/1/ mutation schemes, simple parameter adaptive jDE, and the recent state of the art version SHADE. Experiments are focused on the extensive investigation of the different randomization schemes for the selection of individuals in DE algorithm driven by the nine different two-dimensional discrete deterministic chaotic systems, as the chaotic pseudorandom number generators. The performances of DE variants and their chaotic/non-chaotic versions are recorded in the one-dimensional settings of 10D and 15 test functions from the CEC 2015 benchmark, further statistically analyzed.