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Wyniki wyszukiwania dla: OPTMIZATION
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Bayesian Optimization for solving high-frequency passive component design problems
PublikacjaIn this paper, the performance of the Bayesian Optimization (BO) technique applied to various problems of microwave engineering is studied. Bayesian optimization is a novel, non-deterministic, global optimization scheme that uses machine learning to solve complex optimization problems. However, each new optimization scheme needs to be evaluated to find its best application niche, as there is no universal technique that suits all...
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Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters
PublikacjaThis paper focuses on convolution neural network quantization problem. The quantization has a distinct stage of data conversion from floating-point into integer-point numbers. In general, the process of quantization is associated with the reduction of the matrix dimension via limited precision of the numbers. However, the training and inference stages of deep learning neural network are limited by the space of the memory and a...
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Preference-based evolutionary multi-objective optimization in ship weather routing
PublikacjaIn evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal solutions. Such approach may be applied to multiple real-life problems, including weather routing (WR) of ships. The route should be optimal in terms of passage time, fuel consumption and safety of crew and cargo while taking into account dynamically changing weather conditions. Additionally it must not violate any navigational constraints...
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Modification and Optimization of the United-Residue (UNRES) Potential Energy Function for Canonical Simulations. I. Temperature Dependence of the Effective Energy Function and Tests of the Optimization Method with Single Training Proteins
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Energy Versus Throughput Optimisation for Machine-to-Machine Communication
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Optimisation of ZVZCS DC/DC converter with tapped inductor.
PublikacjaW artykule zaprezentowano możliwości wykorzystania dławika z odczepem oraz obwodu LC w celu uzyskania warunków miękkiej komutacji kluczy energoelektronicznych w przetwornicy DC-DC.Na podstawie modelu matematycznego zbadany został wpływ wartości elementów na zachowanie miękkiej komutacji.Przedstawiono wyniki badań symulacyjnych i eksperymentalnych.
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Stability criteria as constraints in a fleet of ships optimisation problem
PublikacjaRozwiązano problem dotyczący matematycznej optymalizacji floty statków wielozadaniowych typu rzeka-morze, przeznaczonych dla europejskiej żeglugi przybrzeżnej i eksploatowanych w obszarze Mórz Północnego i Bałtyckiego, na poziomie zadania transportowego za pomocą metod programowania nieliniowego z ograniczeniami. Zaproponowano metodę włączenia istniejących kryteriów skuteczności statków jako ograniczeń w ogólnym modelu optymalizacji...
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Low sulphur coal combustion - Optimisation of boiler tunings.
PublikacjaBadaniami w ramach projektu objęto przede wszystkim kotły parowe oraz układy wspomagające, takie jak: podajniki węgla, młyny, wentylatory, instalacje oczyszczania spalin. Badania eksperymentalne przeprowadzono na obiektach Elektrociepłowni Kraków, natomiast obliczenia numeryczne zostały wykonane przez Politechnikę Wrocławska we współpracy z firmą R&D EDF. Sformułowano szereg konkretnych wytycznych do przeprowadzenia niezbędnych...
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Design optimisation of air-fed full pressurised suits
PublikacjaOpisano szczegóły złożoności zjawisk cieplno-przepływowych pomiędzy wewnętrzną powierzchnią kombinezonu ochronnego i zewnętrznego ubioru. Komplikacja polega na jednoczesnym rozważaniu wymiany masy i ciepła wraz z realistycznymi, trójwymiarowymi geometriami. Dodatkowo rozważany jest ludzki metabolizm. Zrozumienie tych zjawisk i umiejętnośćich symulacji jest konieczna w celu właściwych prac projektowych nad nowymi typami kombinezonów...
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Discrete-continuous optimisation of an axial flow blood pump
PublikacjaThis paper presents results of discrete-continuous optimisation of an axial flow blood pump. Evolution Strategies (ES) are used as a global optimisation method in order to localise the optimal solution in relatively short time. The whole optimisation process is fully automated. This also applies to geometry modelling. Numerical simulations of the flow inside the pump is performed by means of the Reynolds-Average Navier-Stokes...
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Two-criteria optimisation problem for ventral hernia repair
PublikacjaTwo-criteria optimisation problem related to laparoscopic ventral hernia repair is formulated in this paper. An optimal implant from a given set and its orientation is sought. The implant is subjected to kinematic extortions due to a patient’s body movement and intra-abdominal pressure. The first criterion of the optimisation problem deals with the reaction force in the implant fastener, while the deflection of the implant constitutes...
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Numerical optimization of planar antenna structures using trust-region algorithm with adaptively adjusted finite differences
Dane BadawczeThe dataset contains initial designs and optimization results for three planar structures that include quasi-patch antenna for WLAN applications, compact spline-parameterized monopole dedicated for ultra-wideband applications, as well as rectifier for energy harvesting with enhanced bandwidth. The numerical results for the first two structures are also...
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Nanostructured Lipid Carriers Engineered as Topical Delivery of Etodolac: Optimization and Cytotoxicity Studies
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Sea Captains’ Views on Automated Ship Route Optimization in Ice-covered Waters
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Optimization of the Geothermal Energy for District Heating in the Polish Tatras Region: A Case Study
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Conditional Value-at-Risk Vs. Value-at-Risk to Multi-Objective Portfolio Optimization
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Recent improvements in prediction of protein structure by global optimization of a potential energy function
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Extraction and optimization of Penicillium sclerotiorum strain AK‐1 pigment for fabric dyeing
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Electricity Portfolio Optimization for Large Consumers: Iberian Electricity Market Case Study
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Lexicographic and weighting approach to multi-criteria portfolio optimization by mixed integer programming
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Weighted-Sum Approach for Bi-objective Optimization of Fleet Size with Environmental Aspects
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Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks
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Optimization of The Shortest-Path Routing with Equal-Cost Multi-Path Load Balancing
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Packet routing and frame length optimization in wireless mesh networks with multicast communications
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On joint primary and backup controllers’ placement optimization against node-targeted attacks
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Resilience through multicast – An optimization model for multi-hop wireless sensor networks
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Eficient multimode mixed time-frequency domain analysis and optimization of waveguide structures.
PublikacjaW pracy przedstawiona jest pełnofalowa analiza i optymalizacja struktur falowodowych o zadanej topologii. Nieciągłości falowodowe analizowane są z wykorzystaniem metody FDTD-IBC oraz scharakteryzowane uogólnioną macierzą rozproszenia. Efektywność metody zilustrowana jest na przykładzie filtru falowodowego siódmego rzędu.
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Eficient multimode mixed time-frequency domain analysis and optimization of waveguide structures.
PublikacjaW pracy przedstawiona jest pełnofalowa analiza i optymalizacja struktur falowodowych o zadanej topologii. Nieciągłości falowodowe analizowane są z wykorzystaniem metody FDTD-IBC oraz scharakteryzowane uogólnioną macierzą rozproszenia. Efektywność metody zilustrowana jest na przykładzie filtru falowodowego siódmego rzędu.
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Continuous-Time Active-RC Filter Model for Computer-Aided Design and Optimization
PublikacjaW pracy przedstawiono ogólny model filtru aktywnego RC opartego na wzmacniaczach odwracajacych faze. Model analizowany jest przy użyciu równań macierzowych. Podano jawną formułę określającą funkcję przenoszenia filtru w ogólnym przypadku. Przedstawiono rozszerzenia modelu pozwalające uwzgledniać nieidealność wzmacniaczy operacyjnych, w tym skończone wzmocnienie i pasmo przenoszenia oraz niezerową rezystancję wyjściową. Wyprowadzono...
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Intelligent Optimization of Hard-Turning Parameters Using Evolutionary Algorithms for Smart Manufacturing
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Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects
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Optimization of white light interferometric temperature sensor. Workshop on Atomic and Molecular Physics.
PublikacjaW artykule przedstawiono metodę optymalizacji parametrów niskokoherencyjnego interferometrycznego czujnika temperatury wykorzystującego miniaturowy interferometr Farby Perota, pracujący w modzie odbiciowym.
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Optimization of an axial turbine for a small scale ORC waste heat recovery system
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Chemometric optimization of derivatization reactions prior to gas chromatography–mass spectrometry analysis
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Mitigating the Energy Consumption and the Carbon Emission in the Building Structures by Optimization of the Construction Processes
PublikacjaFor decades, among other industries, the construction sector has accounted for high energy consumption and emissions. As the energy crisis and climate change have become a growing concern, mitigating energy usage is a significant issue. The operational and end of life phases are all included in the building life cycle stages. Although the operation stage accounts for more energy consumption with higher carbon emissions, the...
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Rapid Simulation-Driven Multiobjective Design Optimization of Decomposable Compact Microwave Passives
PublikacjaIn 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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Rapid Microwave Design Optimization in Frequency Domain Using Adaptive Response Scaling
PublikacjaIn this paper, a novel methodology for cost-efficient microwave design optimization in the frequency domain is proposed. Our technique, referred to as adaptive response scaling (ARS), has been developed for constructing a fast replacement model (surrogate) of the high-fidelity electromagnetic-simulated model of the microwave structure under design using its equivalent circuit (low-fidelity model). The basic principle of ARS is...
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Solving highly-dimensional multi-objective optimization problems by means of genetic gender
PublikacjaPaper presents a computational optimization study using a genetic gender approach for solving multi-objective optimization problems of detection observers. In this methodology the information about an individual gender of all the considered solutions is applied for the purpose of making distinction between different groups of objectives. This information is drawn out of the fitness of individuals and applied during a current parental...
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Assessment and Optimization of Air Monitoring Network for Smart Cities with Multicriteria Decision Analysis
PublikacjaEnvironmental monitoring networks need to be designed in efficient way, to minimize costs and maximize the information granted by their operation. Gathering data from monitoring stations is also the essence of Smart Cities. Agency of Regional Air Quality Monitoring in the Gdańsk Metropolitan Area (pol. ARMAAG) was assessed in terms of its efficiency to obtain variety of information. The results on one-month average concentrations...
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Pareto Ranking Bisection Algorithm for Expedited Multi-Objective Optimization of Antenna Structures
PublikacjaThe purpose of this letter is introduction of a novel methodology for expedited multi-objective design of antenna structures. The key component of the presented approach is fast identification of the initial representation of the Pareto front (i.e., a set of design representing the best possible trade-offs between conflicting objectives) using a Pareto-ranking bisection algorithm. The algorithm finds a discrete set of Pareto-optimal...
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Globalized Parametric Optimization of Microwave Passive Components Using Simplex-Based Surrogates
PublikacjaOptimization-based parameter adjustment involving full-wave electromagnetic (EM) simulation models is a crucial stage of present-day microwave design process. In fact, rigorous optimization is the only reliable mean permitting to simultaneously handle multiple geometry/material parameters, objectives, and constraints. Unfortunately, EM-driven design is a computationally intensive endeavor. While local tuning is usually manageable,...
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High-Efficacy Global Optimization of Antenna Structures by Means of Simplex-Based Predictors
PublikacjaDesign of modern antenna systems has become highly dependent on computational tools, especially full-wave electromagnetic (EM) simulation models. EM analysis is capable of yielding accurate representation of antenna characteristics at the expense of considerable evaluation time. Consequently, execution of simulation-driven design procedures (optimization, statistical analysis, multi-criterial design) is severely hindered by the...
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5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy
PublikacjaThe fifth generation (5G) of mobile networks utilizing millimeter Wave (mmWave) bands can be considered the leading player in meeting the continuously increasing hunger of the end user demands in the near future. However, 5G networks are characterized by high power consumption, which poses a significant challenge to the efficient management of base stations (BSs) and user association. Implementing new power consumption and user...
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Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation
PublikacjaThis book discusses response feature technology and its applications to modeling, optimization, and computer-aided design of high-frequency structures including antenna and microwave components. By exploring the specific structure of the system outputs, feature-based approaches facilitate simulation-driven design procedures, both in terms of improving their computational efficiency and reliability. These benefits are associated...
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Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management
PublikacjaDesign of modern antenna systems heavily relies on numerical opti-mization methods. Their primary purpose is performance improvement by tun-ing of geometry and material parameters of the antenna under study. For relia-bility, the process has to be conducted using full-wave electromagnetic (EM) simulation models, which are associated with sizable computational expendi-tures. The problem is aggravated in the case of global optimization,...
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Optimization of the autoconfiguration mechanisms of the mobile stations supporting IPv6 protocol in the IEEE 802.16
PublikacjaCelem pracy jest analiza funkcjonowania procedur przełączania w sieciachWiMAX/IPv6, wybór mechanizmów będących powodem największych opóźnień izaproponowanie ich poprawy. Teza pracy dotyczy wykazania, że procesrekonfiguracji IPv6 w czasie przełączenia w sieciach 802.16 nie jestoptymalny i możliwe jest osiągnięcie zwiększonej wydajności przełączaniapoprzez modyfikację protokołów IPv6, DHCPv6 oraz Mobile IPv6. Na drodzedo osiągnięcia...
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Cost minimization of locating construction machinery park with the use of simulation and optimization algorithms
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Optimization of Wastes Compaction Parameters in Case of Gradual Wear of the Briquetting Press Rolls
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Interior Point Method Evaluation for Reactive Power Flow Optimization in the Power System
PublikacjaThe paper verifies the performance of an interior point method in reactive power flow optimization in the power system. The study was conducted on a 28 node CIGRE system, using the interior point method optimization procedures implemented in Power Factory software.
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Gender approach to multi-objective optimization of detection systems by pre-selection of criteria
PublikacjaA novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...