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Search results for: GRASSHOPPER OPTIMIZATION ALGORITHM
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Minimizing Greenhouse Gas Emissions From Ships Using a Pareto Multi-Objective Optimization Approach
PublicationTo confront climate change, decarbonization strategies must change the global economy. According to statements made as part of the European Green Deal, maritime transport should also become drastically less polluting. As a result, the price of transport must reflect the impact it has on the environment and on health. In such a framework, the purpose of this paper is to suggest a novel method for minimizing emissions...
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Key issues in modeling and optimization of lignocellulosic biomass fermentative conversion to gaseous biofuels
PublicationThe industrial-scale production of lignocellulosic-based biofuels from biomass is expected to benefit society and the environment. The main pathways of residues processing include advanced hydrolysis and fermentation, pyrolysis, gasification, chemical synthesis and biological processes. The products of such treatment are second generation biofuels. The degree of fermentation of organic substances depends primarily on their composition...
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Rapid Simulation-Driven Multiobjective Design Optimization of Decomposable Compact Microwave Passives
PublicationIn this paper, a methodology for fast multiobjective optimization of the miniaturized microwave passives has been presented. Our approach is applicable to circuits that can be decomposed into individual cells [e.g., compact microstrip resonant cells (CMRCs)]. The structures are individually modeled using their corresponding equivalent circuits and aligned with their accurate, EM simulated...
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Computationally-Efficient Statistical Design and Yield Optimization of Resonator-Based Notch Filters Using Feature-Based Surrogates
PublicationModern microwave devices are designed to fulfill stringent requirements pertaining to electrical performance, which requires, among others, a meticulous tuning of their geometry parameters. When moving up in frequency, physical dimensions of passive microwave circuits become smaller, making the system performance increasingly susceptible to manufacturing tolerances. In particular, inherent inaccuracy of fabrication processes affect...
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Robust-adaptive dynamic programming-based time-delay control of autonomous ships under stochastic disturbances using an actor-critic learning algorithm
PublicationThis paper proposes a hybrid robust-adaptive learning-based control scheme based on Approximate Dynamic Programming (ADP) for the tracking control of autonomous ship maneuvering. We adopt a Time-Delay Control (TDC) approach, which is known as a simple, practical, model free and roughly robust strategy, combined with an Actor-Critic Approximate Dynamic Programming (ACADP) algorithm as an adaptive part in the proposed hybrid control...
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Optimization of biocorrosion resistance and mechanical properties of PM Ti–XAl–2Fe–3Cu alloys by response surface methodology
PublicationIn the current study, the biocorrosion resistance and mechanical properties of the Ti–XAl–2Fe–3Cu (wt%) (X = 6, 4, 2 wt%) alloy produced by powder compact extrusion of blended elemental powders were optimized by using the response surface methodology in order to gain the best combination of processing parameters. To run the optimization process, central composite design with three equal levels of oxygen, hydrogen and aluminum was...
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On Rapid Design Optimization and Calibration of Microwave Sensors Based on Equivalent Complementary Resonators for High Sensitivity and Low Fabrication Tolerance
PublicationThis paper presents the design, optimization, and calibration of multivariable resonators for mi-crowave dielectric sensors. An optimization technique for circular complementary split ring reso-nator (CC-SRR) and square complementary split ring resonator (SC-SRR) is presented to achieve the required transmission response in a precise manner. The optimized resonators are manufac-tured using a standard photolithographic technique...
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Implementation of localization and identification of ferromagnetic objects algorithm in labview enviroment
PublicationThe problem with detecting dangerous objects is still a matter of concern today. One of the methods of detecting dangerous objects is the magnetic method. While measuring a magnetic field in the surrounding of objects with ferromagnetic properties, it is possible to detect, localize and identify such object.
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An Algorithm for Optimizing the Determination of Cycling Routes on the Example of the Gdansk Agglomeration
PublicationPhysical activity is an essential part of a healthy lifestyle. One of the manifestations of the change in a society type from consumer to information one is the understanding of the importance of ecology and a healthy lifestyle. This is evident, inter alia, in the inventiveness and involvement of the society in the start-up and solutions referred to as the Smart City. One example is the development of e-bike rental and local investments...
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An algorithm to generate high dense packing of particles with various shapes
PublicationDiscrete Element Method (DEM) is one of available numerical methods to compute movement of particles in large scale simulations. The method has been frequently applied to simulate the cases of grain or bulk material as the major research issue. The paper describes a new method of generating high dense packing with mixed material of two different shape used in DEM simulation. The initial packing is an important parameter to control,...
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Genetic operators of evolutionary algorithm in problem of collision avoidance at sea
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An EIT reconstruction algorithm: comparison of one-step and iterative versions.
PublicationW pracy przeprowadzono dyskusję problemu rekonstrukcji jednokrokowej i iteracyjnej w tomografii elektroimpedancyjnej. Zbadano zależność błędu rekonstrukcji od parametrów zaburzenia dla wersji jednokrokowej algorytmu i porównano z wynikami rekonstrukcji iteracyjnej. W przeprowadzonych symulacjach wykorzystano algorytm Levenberga-Marquardta.
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OPTIMISING RIG DESIGN FOR SAILING YACHTS WITH EVOLUTIONARY MULTIOBJECTIVE ALGORITHM
PublicationThe paper presents a framework for optimising a sailing yacht rig using Multi-objective Evolutionary Algorithms and for filtering obtained solutions by means of a Multi-criteria Decision Making method. A Bermuda sloop with discontinuous rig is taken under consideration as a model rig configuration. It has been decomposed into its elements and described by a set of control parameters to form a responsive model which can be used...
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A polynomial algorithm for some preemptive multiprocessor task scheduling problems.
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Errors analysis of differential single-frequency geo-positioning algorithm
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Agent-Based Population Learning Algorithm for RBF Network Tuning
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Implementation and performance evaluation of the agent-based algorithm for ANN training
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Hybrid Algorithm to Protect Java’s Code from Reverse Engineering
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Ship Collision Risk Assessment Based on Collision Detection Algorithm
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A COMPUTATIONAL ALGORITHM FOR THE NUMERICAL SOLUTION OF NONLINEAR FRACTIONAL INTEGRAL EQUATIONS
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A technique of stabilizing FDTD-subgridding algorithm using reciprocity principle
PublicationW artykule przedstawiono wykorzystanie zasady wzajemności w procesie stabilizacji zagęszczania siatki dla fdtd. Metoda ta oryginalnie służyła tylko do sprawdzenia stabilności algorytmów zagęszczających siatki fdtd, jednak pozwala ona na zmianę współczynnika sprzężenia pomiędzy polami występującymi na brzegach w ten sposób, że algorytm siatkowania jest stabilny. Zaprezentowana metoda została zweryfikowana testami numerycznymi pod...
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A polynomial algorithm for solving a general max‐min fairness problem
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FPGA and ASIC implementation of the algorithm for traffic monitoring in urban areas
PublicationW artykule przedstawiono algorytm detekcji obrazu oraz jego realizację sprzętową w technikach FPGA i ASIC. Algorytm ten dedykowany jest do detekcji ruchu pojazdów i jest realizowany w czasie rzeczywistym. Użyto pojedynczą, umieszczoną na stałe kamerę monochromatyczną o niskiej rozdzielczości. Wykonywane są również operacje eliminacji cieni i rozjaśnień obrazu. Nachodzenie obiektów na siebie nie jest brane pod uwagę. Realizacja...
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Head movement compensation algorithm in multi-display communication by gaze
PublicationAn influence of head movements on the gaze estimation accuracy when using a head mounted eye tracking system is discussed in the paper. This issue has been examined for a multi-display environment. It was found that head movement (rotation) to some extent does not influence on the gaze estimation accuracy seriously. Acceptable results were obtained when using eye-tracker to communicate with a computer via in two displays simultaneously.
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Development of visual evoked potentials detection algorithm for objective perimetry
PublicationOpisano nową propozycję algorytmu detekcji potencjałów wzrokowych w zapisie EEG. Nowy algorytm bazuje na dekompozycji statystycznej ICA. Algorytm wstępnie przetestowano na danych eksperymentalnych.
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Testing the Accuracy of the Modified ICP Algorithm with Multimodal Weighting Factors
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Efficient Surrogate Modeling and Design Optimization of Compact Integrated On-Chip Inductors Based on Multi-Fidelity EM Simulation Models
PublicationHigh-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated...
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Multicriteria Optimization Approach to Design and Operation of District Heating Supply System over its Life Cycle
PublicationDistrict Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of long distance Heat Transportation System (HTS) is proposed. The method allows for evaluation of feasibility and effectivity of heat transportation...
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FLUID BED COATING OF MINITABLETS AND PELLETS WITH OPTIMIZATION OF THE PROCESS BASED ON TAGUCHI METHOD
PublicationSmall particles like pellets are coated in fluid bed systems. This method can be also feasible for minitablets but the selection of optimal process parameters is complicated. The aim of the research was to optimize the coating process for minitablets and to compare the conditions required for pellets. Minimum fluidization velocities (umf) for 2.0 and 2.5 mm minitablets and 0.7-0.8 mm or 1.0-1.25 mm pellets were determined experimentally....
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Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters
PublicationIn this paper, the fracture behavior and fatigue crack growth rate of the 2024-T351 aluminum alloy has been investigated. At first, the 2024-T351 aluminum alloys have been welded using friction stir welding procedure and the fracture toughness and fatigue crack growth rate of the CT specimens have been studied experimentally based on ASTM standards. After that, in order to predict fatigue crack growth rate and fracture toughness,...
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Method for determining of shallow water depths based on data recorded by UAV/USV vehicles and processed using the SVR algorithm
PublicationBathymetric measurements in waters shallower than 1 m are necessary to monitor seafloor relief changes in the coastal zone. This is especially important for ensuring the safety of navigation, navigation efficiency, as well as during the design and monitoring of hydrotechnical structures. Therefore, the aim of this article is to present a method for determining of shallow water depths based on data recorded by Unmanned Aerial Vehicle...
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Fast tolerance-aware design optimization of miniaturized microstrip couplers using variable-fidelity EM simulations and re-sponse features
PublicationManufacturing tolerances and other types of uncertainties may considerably affect operation and performance of microwave components and systems. Quantification of these effects is therefore an important part of the design process. It is even more important to obtain designs whose sensitivity to parameter deviations is reduced as much as possible. All of these require statistical analysis carried out at the level of electromagnetic...
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Design and Optimization of Metamaterial-Based 5G Millimeter Wave Antenna for Gain Enhancement
PublicationIn this brief, a low profile, broadband, high-gain antenna array based on optimized metamaterials (MMs) with dual-beam radiation is reported for 5G millimeters wave (mm-wave) applications. The design is a simple bow tie operating at a 5G band of 28 GHz. It consists of two bow ties with substrate integrated waveguide (SIW)-based power splitter. A broad impedance bandwidth of 26.3−29.8 GHz is obtained by appropriately combining the...
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Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
PublicationA reliable air quality prediction model is required for pollution control, human health monitoring, and sustainability. The existing air quality prediction models lack efficiency due to overfitting in prediction model and local optima trap in feature selection. This study proposes the Balanced Spider Monkey Optimization (BSMO) technique for effective feature selection to overcome the local optima trap and overfitting problems....
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Optimization of Self-Organized TiO2 Nanotube Geometry on Ti and Ti Alloys Using Fuzzy Logic Reasoning
PublicationThe geometry of self-organized TiO2 nanotubes, obtained by electrochemicalanodization, has been determined by using fuzzy reasoning approach. The efficiency of TiO2nanotubular layer in biomedical applications depends on geometry and available surface area ofnanotubes, which can be determined by their diameter and length. The structure of nanotubesdepends on processing parameters of electrochemical anodization, like applied potential,anodization...
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Relay-aided Wireless Sensor Network Discovery Algorithm for Dense Industrial IoT utilizing ESPAR Antennas
PublicationIndustrial Internet of Things (IIoT) applicationsrequire reliable and efficient wireless communication. Assumingdense Wireless Sensor Networks (WSNs) operating in a harshenvironment, a concept of a Time Division Multiple Access(TDMA) based WSN enriched with Electronically SteerableParasitic Array Radiator (ESPAR) antennas is proposed andexamined in this work. The utilized...
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Low-cost EM-Simulation-based Multi-objective Design Optimization of Miniaturized Microwave Structures
PublicationIn this work, a simple yet reliable technique for fast multi-objective design optimization of miniaturized microwave structures is discussed. The proposed methodology is based on point-by-point identification of a Pareto-optimal set of designs representing the best possible trade-offs between conflicting objectives such as electrical performance parameters as well as the size of the structure of interest. For the sake of computational...
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Parametric optimization of hybrid metalworking machinery quality
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Optimization of quadrilateral mesh for ship hull modelling
PublicationArtykuł przedstawia metodę poprawy jakości czworokątnej siatki elementów skończonych, które najlepiej nadają się do modelowania kadłuba statku dla potrzeb analizy MES. W metodzie zakłada się poprawną topologię siatki i stosuje gradient funkcji celu do poszukiwania optymalnego rozwiązania. Funkcja celu może być dowolną funkcją, opisująca jakość elementu (metryka), odpowiednią dla wymagań metody elementów skończonych. W artykule...
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Multi gender genetic optimization of diagnostic observers.
PublicationW pracy przedstawiana jest nowa metoda rozwiązywania zadań wielokryterialnej optymalizacji. W omawianej metodzie wykorzystywana jest informacja o genetycznym rodzajniku osobnika w celu odpowiedniego rozróżnienia i agregacji wielu kryteriów. Charakterystyczne cechy mechanizmu są prezentowane na przykładzie wielokryterialnej optymalizacji detekcyjnych obserwatorów stanu.
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Optimization and control of tissue growth and repair in bioreactor.
PublicationPraca przedstawia model matematyczny procesu optymalizacji i odnowy hodowanej w bioreaktorze tkanki. Model matematyczno-numeryczny umożliwia właściwy dobór parametrów w trakcie hodowli w celu uzyskania pożądanych efektów w zakresie fizyko-chemicznych właściwości rozmnażającej się tkanki. Charakterystyką o znamionach nowości jest wieloparametrowość optymalizacji w zakresie hodowli tkanek.
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Optimization of Hydrogen - Evolving Photochemical Molecular Devices
PublicationA molecular photocatalyst consisting of a RuII photocenter, a tetrapyridophenazine bridging ligand, and a PtX2 (X=Cl or I) moiety as the catalytic center functions as a stable system for light-driven hydrogen production. The catalytic activity of this photochemical molecular device (PMD) is significantly enhanced by exchanging the terminal chlorides at the Pt center for iodide ligands. Ultrafast transient absorption spectroscopy...
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Optimization of Graphene Oxide Synthesis and Its Reduction
PublicationIn this article, we present the review of the chemical methods of synthesis of graphene oxide and its reduction in order to obtain the so-called reduced graphene oxide (rGO) whose properties are similar to those of pure graphene. We also present our experiments and the results in this field and the comparison of the efficiency of different methods of synthesis as well as the reduction of graphene oxide. To characterize the obtained...
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JABAT Middleware as a Tool for Solving Optimization Problems
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Optimization of the Vibrating Machines with Adjustable Frequency Characteristics
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Applying artificial intelligence for cellular networks optimization
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A method for ice-aware maritime route optimization
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Optimization of inventory costs management in the construction enterprise
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Optimization of streamwise vortex generator for subsonic flow
PublicationW pracy przedstawiono wyniki optymalizacji generatora wirów wzdłużnych dla dwóch liczb Macha 0.3 i 0.8. Optymalizacje przeprowadzono w oparciu o algorytmy genetyczne i obliczenia przepływu trójwymiarowego wykonane programem Fluent. Wykonano badania eksperymentalne dla optymalnej konfigurację i potwierdzono większą efektywność generatora wirów.