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Dissertations / Theses on the topic 'Cognitive development optimization algorithm'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Thomas, Ryan William. "Cognitive Networks." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28319.

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For complex computer networks with many tunable parameters and network performance objectives, the task of selecting the ideal network operating state is difficult. To improve the performance of these kinds of networks, this research proposes the idea of the cognitive network. A cognitive network is a network composed of elements that, through learning and reasoning, dynamically adapt to varying network conditions in order to optimize end-to-end performance. In a cognitive network, decisions are made to meet the requirements of the network as a whole, rather than the individual network compo

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Goren, Keith Daniel Joseph. "Optimization of the metamorphic development process via the genetic algorithm /." Full text available online, 2008. http://www.lib.rowan.edu/find/theses.

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Lattarulo, Valerio. "Development of a multi-objective variant of the alliance algorithm." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/270076.

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Optimization methodologies are particularly relevant nowadays due to the ever-increasing power of computers and the enhancement of mathematical models to better capture reality. These computational methods are used in many different fields and some of them, such as metaheuristics, have often been found helpful and efficient for the resolution of practical applications where finding optimal solutions is not straightforward. Many practical applications are multi-objective optimization problems: there is more than one objective to optimize and the solutions found represent trade-offs between the

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Feng, Zhenhua. "Cross-Layer Optimization and Distributed Algorithm Design for Frequency-Agile Radio Networks." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37207.

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Recent advancements in frequency-agile radio technology and dynamic spectrum access network have created a huge space for improving the utilization efficiency of wireless spectrum. Existing algorithms and protocols, however, have not taken full advantage of the new technologies due to obsolete network design ideologies inherited from conventional network design, such as static spectrum access and static channelization. In this dissertation, we propose new resource management models and algorithms that capitalize on the frequencyagility of next generation radios and the dynamic spectrum access

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5

Lianjie, Shen. "Optimization and Search in Model-Based Automotive SW/HW Development." Thesis, Linköpings universitet, Programvara och system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105394.

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In this thesis two case studies are performed about solving two design problems we face during the design phase of new Volvo truck. One is to solve the frame packing problem on CAN bus. The other is to solve the LDC allocation problem. Both solutions are targeted to meet as many end-to-end latency requirements as possible. Now the solution is obtained through manually approach and based on the designer experience. But it is still not satisfactory enough. With the development of artificial intelligence method we propose two methods based on genetic algorithm to solve our design problem we face

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CAMPOS, M. C. M. "Development of an Entropy-Based Swarm Algorithm for Continuous Dynamic Constrained Optimization." Universidade Federal do Espírito Santo, 2017. http://repositorio.ufes.br/handle/10/9871.

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Made available in DSpace on 2018-08-02T00:04:06Z (GMT). No. of bitstreams: 1 tese_11183_ThesisMauroMay082017.pdf: 2199268 bytes, checksum: fb7b682bc98a1f2089ec2331551f97b1 (MD5) Previous issue date: 2017-05-08<br>Dynamic constrained optimization problems form a class of problems WHERE the objective function or the constraints can change over time. In static optimization, finding a global optimum is considered as the main goal. In dynamic optimization, the goal is not only to find an optimal solution, but also track its trajectory as closely as possible over time. Changes in the environment m

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Inclan, Eric. "The Development of a Hybrid Optimization Algorithm for the Evaluation and Optimization of the Asynchronous Pulse Unit." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1582.

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The effectiveness of an optimization algorithm can be reduced to its ability to navigate an objective function’s topology. Hybrid optimization algorithms combine various optimization algorithms using a single meta-heuristic so that the hybrid algorithm is more robust, computationally efficient, and/or accurate than the individual algorithms it is made of. This thesis proposes a novel meta-heuristic that uses search vectors to select the constituent algorithm that is appropriate for a given objective function. The hybrid is shown to perform competitively against several existing hybrid and non-

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El, Mourabit Samir. "Optimization of Concrete Beam Bridges : Development of Software for Design Automation and Cost Optimization." Thesis, KTH, Bro- och stålbyggnad, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189273.

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Recent advances in the field of computational intelligence have led to a numberof promising optimization algorithms. These algorithms have the potential to findoptimal or near-optimal solutions to complex problems within a reasonable timeframe. Structural optimization is a research field where such algorithms are appliedto optimally design structures. Although a significant amount of research has been published in the field ofstructural optimization since the 1960s, little of the research effort has been utilizedin structural design practice. One reason for this is that only a small portion of

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9

Kim, Yongjin. "Development of automobile antenna design and optimization for FM/GPS/SDARS applications." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1054307551.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 158 p.; also includes graphics Includes bibliographical references (p. 154-158). Available online via OhioLINK's ETD Center

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Boccolini, Mattia. "Development of a speed profile prediction algorithm based on navigation data for energy management optimization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22543/.

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This master thesis work wants to develop and implement an on-board algorithm for the speed prediction of a connected vehicle along a given route, by elaborating real-time navigation data. In particular, information about the legal speed limits, the traffic density and the presence of the so-called "stop events", such as traffic lights and roundabouts, are sent to the vehicle by the map service provider and they constitute the input for the algorithm. The algorithm allows you to select one out of three different driver type (quiet, normal, aggressive): this choice, together with the performance

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11

Hochsztein, Dov. "Development and implementation of an inventory location optimization algorithm for improved distribution center picking rates." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120247.

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Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 82-83).<br>A strategic roadmap was developed for Waters Corporation detailing four central themes and twelve project proposals to direct future projects and innovations at the company over the next 3-10 years. Specific attention was paid to the growing need at Waters to shift processes from manual to automatic and to convert data collection and usage techniques from analog

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12

Carstens, Nathan 1978. "Speedup of MCNP(X) parallel KCODE execution via communication algorithm development and Beowulf Cluster optimization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28370.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 2004.<br>Includes bibliographical references (leaf 107).<br>This thesis examines two methods for speeding up MCNP KCODE calculations. The first approach is assembly of a low cost Beowulf Cluster for parallel computation. The first half describes the MIT Nuclear Engineering Department's Beowulf Cluster, Echelon, as a prototype. Echelon is a low cost, 30 CPIJ, disk-less Debian Linux Beowulf Cluster. A user's manual is documented and a series of tips given on how to build a similar cluster, and a method described

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13

Noble, Lawrence Dean Jr. "DEVELOPMENT OF A MUSCLE FORCE OPTIMIZATION ALGORITHM TO IMPROVE CENTER OF PRESSURE DURING SIMULATED WALKING." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1301931722.

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Chen, Ye. "Fuzzy Cognitive Maps: Learning Algorithms and Biomedical Applications." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1423581705.

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15

Friend, Daniel. "Cognitive Networks: Foundations to Applications." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26449.

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Fueled by the rapid advancement in digital and wireless technologies, the ever-increasing capabilities of wireless devices have placed upon us a tremendous challenge - how to put all of this capability to effective use. Individually, wireless devices have outpaced the ability of users to optimally configure them. Collectively, the complexity is far more daunting. Research in cognitive networks seeks to provide a solution to the diffculty of effectively using the expanding capabilities of wireless networks by embedding greater degrees of intelligence within the network itself. In this dissertat

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Garcia, Andrés Xavier. "Development of innovative methodologies to reduce railway rolling noise through Genetic Algorithm-based shape optimization techniques." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/164194.

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[ES] El ruido de rodadura es un fenómeno producido debido a la interacción entre la rueda y el carril e inducido por las pequeñas irregularidades existentes en la superficie de ambos. Dichas irregularidades, conocidas como "rugosidad", provocan que se genere una vibración tanto en la rueda como el carril cuando el tren circula a una cierta velocidad, lo que consecuentemente lleva a la aparición de radiación acústica. Esto conforma una de las fuentes de molestias más relevantes y principal origen de la contaminación acústica producida por los trenes al circular por regiones urbanas densamente p

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Devanarayana, Chamara. "Spectrum access in cognitive radio networks based on prediction and estimation." EURASIP Journal on Wireless Communications and Networking, 2011. http://hdl.handle.net/1993/31605.

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In the literature, Cognitive radio (CR) as well as full-duplex (FD) communication technologies are proposed to increase the spectrum efficiency. The main contribution of this thesis is to introduce prediction and estimation techniques with low control overhead, and use the predicted or estimated information in resource allocation in CR networks, both in the overlay networks and the underlay networks. Prediction and estimation are important in increasing the data rate and keeping the interference at a low level. In the overlay scheme, I modeled the primary user (PU) traffic characteristi

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18

Dosi, Shubham. "Optimization and Further Development of an Algorithm for Driver Intention Detection with Fuzzy Logic and Edit Distance." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-202567.

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Inspired by the idea of vision zero, there is a lot of work that needs to be done in the field of advance driver assistance systems to develop more safer systems. Driver intention detection with a prediction of upcoming behavior of the driver is one possible solution to reduce the fatalities in road traffic. Driver intention detection provides an early warning of the driver's behavior to an Advanced Driver Assistance Systems (ADAS) and at the same time reduces the risk of non-essential warnings. This will significantly reduce the problem of warning dilemma and the system will become more safer

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19

Liu, Chia-Wei. "Development of Automatic Design Optimization Method for Ultrawide Bandwidth (UWB) Multi-Layer Dielectric Rod Antenna." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306512723.

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20

Vaterlaus, Austin C. "Development of a 3D Computational Vocal Fold Model Optimization Tool." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8468.

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One of the primary objectives of voice research is to better understand the biomechanics of voice production and how changes in properties of the vocal folds (VFs) affect voice ability and quality. Synthetic VF models provide a way to observe how changes in geometry and material property affect voice biomechanics. This thesis seeks to evaluate an approach of using a genetic algorithm to design synthetic VF models in three ways: first, through the development of a computationally cost-effective 3D vocal fold model; second, by creating and optimizing a variation of this model; and third, by vali

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21

Wilding, Paul Richard. "The Development of a Multi-Objective Optimization and Preference Tool to Improve the Design Process of Nuclear Power Plant Systems." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7515.

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The complete design process for a new nuclear power plant concept is costly, long, complicated, and the work is generally split between several specialized groups. These design groups separately do their best to design the portion of the reactor that falls in their expertise according to the design criteria before passing the design to the subsequent design group. Ultimately, the work of each design group is combined, with significant iteration between groups striving to facilitate the integration of each of the heavily interdependent systems. Such complex interaction between experts leads to

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22

Burggraf, Timo [Verfasser], Stefan [Akademischer Betreuer] Ulbrich, and Christian [Akademischer Betreuer] Beidl. "Development of an automatic, multidimensional, multicriterial optimization algorithm for the calibration of internal combustion engines / Timo Burggraf. Betreuer: Stefan Ulbrich ; Christian Beidl." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://nbn-resolving.de/urn:nbn:de:tuda-tuprints-43987.

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Burggraf, Timo Verfasser], Stefan [Akademischer Betreuer] [Ulbrich, and Christian [Akademischer Betreuer] Beidl. "Development of an automatic, multidimensional, multicriterial optimization algorithm for the calibration of internal combustion engines / Timo Burggraf. Betreuer: Stefan Ulbrich ; Christian Beidl." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://d-nb.info/1111112231/34.

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24

dal, monte andrea. "Development of an open source environment for the aero-structural optimization of wind turbines." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3425842.

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An advanced open source optimization environment, for the design of Horizontal and Vertical Axis Wind Turbines, is hereby presented: several geometric parameters can be used as design variables while the proposed objective functions allow to run a multi-disciplinary study considering structural and aerodynamic analysis and the impact of the design on the total cost. In order to improve the performances of the considered wind turbine model, the airfoils can be parametrized in serveral ways and both in-house functions and open source tools are integrated in the optimization environment, based o

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25

Sikalo, Nejra [Verfasser], and Andreas [Akademischer Betreuer] Kempf. "Development and application of a genetic algorithm-based tool for the reduction and optimization of reaction kinetic mechanisms / Nejra Sikalo ; Betreuer: Andreas Kempf." Duisburg, 2018. http://d-nb.info/1154385906/34.

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26

KRISHNAN, RAJESH. "DEVELOPMENT OF A MODULAR SOFTWARE SYSTEM FOR MODELING AND ANALYZING BIOLOGICAL PATHWAYS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1181709492.

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27

Komali, Ramakant S. "Game-Theoretic Analysis of Topology Control." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/28358.

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Ad hoc networks are emerging as a cost-effective, yet, powerful tool for communication. These systems, where networks can emerge and converge on-the-fly, are guided by the forward-looking goals of providing ubiquitous connectivity and constant access to information. Due to power and bandwidth constraints, the vulnerability of the wireless medium, and the multi-hop nature of ad hoc networks, these networks are becoming increasingly complex dynamic systems. Besides, modern radios are empowered to be reconfigurable, which harbors the temptation to exploit the system. To understand the implication

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ARYA, PRANAV. "Development of Automated Calibration Methodology for Last Generation of Diesel Automotive Powertrains." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2737677.

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29

Johansson, Joakim. "Optimization of Section Points Locations in Electric Power Distribution Systems : Development of a Method for Improving the Reliability." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-30670.

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The power distribution system is the final link to transfer the electrical energy to the individual customers. It is distributed in a complex technical grid but is associated with the majority of all outages occurring. Improving its reliability is an efficient way to reduce the effects of outages. A common way of improving the reliability is by designing loop structures containing two connected feeders separated by a section point. The location of the section point will decide how the system structure is connected and its level of reliability. By finding the optimal location, an improved relia

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30

Turkcu, Ozlem. "Development Of An Electronic Attack (ea) System In Multi&amp." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609045/index.pdf.

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In this study, an expert system based EA and tracking system is developed and the performances of these systems are optimized. Tracking system consists of a monopulse tracking radar and a Multiple Hypothesis Tracking (MHT) algorithm. MHT is modelled as a measurement&amp<br>#8208<br>oriented approach, which is capable of initiating tracks. As each measurement is received, probabilities are calculated for the hypotheses and target states are estimated using a Kalman filter. Range Gate Pull-Off (RGPO) is selected as an EA technique to be developed because it is accepted to be the primary deceptio

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Ahooghalandari, Matin. "Water resource options for sustainable development in the Pilbara region of Western Australia." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1747.

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Water resources management in the Pilbara region of Western Australia is vital to industry, economy and the environment. This dissertation has aimed to develop a comprehensive hydrological and hydrogeological assessment of water resources in the Yandi mine area located in the Weeli Wolli Creek catchment in the Pilbara. Water resources in this area have become increasingly vulnerable due to growing demand. Climate conditions, geology and hydrogeology, streamflow and the groundwater system of the study area were assessed. Lumped, data-driven and numerical models were employed to develop an under

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Liu, Qingyuan. "Development of a CMOS pixel based inner tracker for the BES-III experiment at BEPC-II." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAE021/document.

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La thèse se place dans le contexte du programme de physique prévu auprès du collisionneur Beijing Electron Positron Collider II, pour lequel l'expérience BESIII (Beijing Electron Spectrometer III) doit subir une jouvence. Mon travail concerne l'amélioration des performances de la trajectométrie centrale de l'expérience, en explorant une nouvelle approche utilisant les capteurs à pixels CMOS (CPS) en remplacement partiel de la chambre à dérive actuelle. Il est validé, qu'un pixel de 39.0X50.8 µm2 permet d'atteindre une résolution spatiale ~10 µm. Cette confirmation ouvre la voie pour le dévelop

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Debnath, Jayanta Kumar. "Development of Scheduling, Path Planning and Resource Management Algorithms for Robotic Fully-automated and Multi-story Parking Structure." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470399189.

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34

Bruno, Liam T. "Three Axis Attitude Control System Design and Analysis Tool Development for the Cal Poly CubeSat Laboratory." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2288.

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The Cal Poly CubeSat Laboratory (CPCL) is currently facing unprecedented engineering challenges—both technically and programmatically—due to the increasing cost and complexity of CubeSat flight missions. In responding to recent RFPs, the CPCL has been forced to find commercially available solutions to entire mission critical spacecraft subsystems such as propulsion and attitude determination & control, because currently no in-house options exist for consideration. The commercially available solutions for these subsystems are often extremely expensive and sometimes provide excessively good perf

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35

Selleri, Gian Marco. "Development of an industrial line parametric editor in virtual reality via Autodesk Vred." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21084/.

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This thesis describes the development of a parametric virtual reality editor for an industrial line for quality inspection, packaging and palletizing of ceramic tiles. This project has been developed entirely within the R&D laboratory of Sacmi S.C., and includes a complete study of the implementation of an application of this kind, from the initial software and hardware selection phase, through the design of algorithms and code programming - in Python language - to the creation of interactive tools and widgets specifically designed for the exploration of the environment, interaction with the s

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Wenzel, Moritz. "Development of a Metamaterial-Based Foundation System for the Seismic Protection of Fuel Storage Tanks." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/256685.

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Metamaterials are typically described as materials with ’unusual’ wave propagation properties. Originally developed for electromagnetic waves, these materials have also spread into the field of acoustic wave guiding and cloaking, with the most relevant of these ’unusual’ properties, being the so called band-gap phenomenon. A band-gap signifies a frequency region where elastic waves cannot propagate through the material, which in principle, could be used to protect buildings from earthquakes. Based on this, two relevant concepts have been proposed in the field of seismic engineering, namely: me

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Wenzel, Moritz. "Development of a Metamaterial-Based Foundation System for the Seismic Protection of Fuel Storage Tanks." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/256685.

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Metamaterials are typically described as materials with ’unusual’ wave propagation properties. Originally developed for electromagnetic waves, these materials have also spread into the field of acoustic wave guiding and cloaking, with the most relevant of these ’unusual’ properties, being the so called band-gap phenomenon. A band-gap signifies a frequency region where elastic waves cannot propagate through the material, which in principle, could be used to protect buildings from earthquakes. Based on this, two relevant concepts have been proposed in the field of seismic engineering, namely: me

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Telci, Ilker Tonguc. "Optimal water quality management in surface water systems and energy recovery in water distribution networks." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45861.

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Two of the most important environmental challenges in the 21st century are to protect the quality of fresh water resources and to utilize renewable energy sources to lower greenhouse gas emissions. This study contributes to the solution of the first challenge by providing methodologies for optimal design of real-time water quality monitoring systems and interpretation of data supplied by the monitoring system to identify potential pollution sources in river networks. In this study, the optimal river water quality monitoring network design aspect of the overall monitoring program is addressed b

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Sigal, Jacob R. "Creating a Market Paradigm Shift with Quality Function Deployment." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1108409936.

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OLAOYE, ISRAEL A. "WATER QUALITY MODELING OF THE OLD WOMAN CREEK WATERSHED, OHIO, UNDER THE INFLUENCE OF CLIMATE CHANGE TO YEAR 2100." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1605955492844115.

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Sluka, Filip. "Algoritmy pro dopřední a zpětné plánování." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-399312.

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The thesis deals with production planning. It contains theoretical description of methods used for production planning and optimizing. Thesis describes bottleneck problems in production. It offers overview of ways to identify and analyze bottleneck influence to manufacturing process efficiency. Thesis proposes ways to eliminate bottlenecks using various algorithm types. It applies theoretical knowledges from optimization and graph theory to program creation that is focused on order delay and readjustment time minimizing. The program implements genetic algorithm.

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Chen, You-Yu, and 陳攸伃. "The Development of Hybrid Optimization Algorithm for Fuzzy Clustering." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/t937sf.

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碩士<br>國立臺北科技大學<br>工業工程與管理研究所<br>97<br>The Fuzzy C-means Algorithm as proposed by Dunn (1974) is a commonly used fuzzy clustering method which conducts data clustering by randomly selecting initial centroids. With larger data size or attribute dimensions, clustering results may be affected and more repetitive computations are required. To compensate the effect of random initial centroids on results, this study proposed a hybrid optimization algorithm－Genetic Immune Fuzzy C-means Algorithm (GIFA). This algorithm first obtains the proper initial cluster centroids and then cluster data to improve

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Huang, Shih-Yu, and 黃仕育. "Development of Self-adaptive Guarantee Convergence Particle Swarm Optimization Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/34038622814330665610.

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碩士<br>元智大學<br>工業工程與管理學系<br>99<br>This paper proposes a variant of particle swarm optimization (PSO) with no need of time-consuming fine-parameter adjustment. PSO is considered as an efficient and effective algorithm with simple structure which has been widely discussed and a lot of PSO variants have been suggested to improve PSO performance. However, for almost all these PSO variants, one major mystery is to find out the most appropriate setting of parameters. Since parameter-tuning is inevitable and takes lots of computational time and analysis work, it always becomes a bottleneck of condu

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Liao, Jou-Chun, and 廖柔郡. "Development of a Noval Hybrid Optimization Algorithm and it’s Application." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/47147385357983660395.

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碩士<br>逢甲大學<br>航太與系統工程學系<br>101<br>The study aims at introducing a novel hybrid optimization algorithm (HOA), incorporating three different types of optimization methods, namely, genetic algorithm (GA), artificial neural network (ANN) and mathematical programming (MP), for real complex engineering design problems. The underlying idea of the proposed HOA is to take advantage of the superior features of these three different optimization algorithms while easing their drawbacks, such as, the lack of an effective termination criterion in GA. In the proposed HOA, the GA is responsible for not only e

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Hung, Kao Ting, and 洪誥廷. "Development of Multi-Objective DIRECT Optimization Algorithm for Engineering Application." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/75556984580234410431.

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博士<br>長庚大學<br>機械工程學系<br>101<br>In this dissertation, a multi-objective optimization method based on the DIRECT (DIviding RECTangles) algorithm, abbreviated as MO-DIRECT, is proposed. The DIRECT algorithm is an efficient single-objective global optimization procedure which treats the design space as a high dimensional cube, and deterministically searches in this space through systematic selection and division operations. The MO-DIRECT incorporates the concept of Pareto-optimality with the DIRECT algorithm to find a set of trade-off solutions by arbitrating a growing Pareto-front. Benchmark perf

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Billing, Laura K. "On the development of an improved lift-constrained aerodynamic optimization algorithm." 2006. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=450278&T=F.

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Khorsand, Amirreza. "Development of non-dominated sorting genetic quantum algorithm for structural and tool shape optimization." 2009. http://hdl.handle.net/1993/21450.

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Tasi, Cheng-Yu, and 蔡承祐. "The Development of Optimization in System Dynamics: Using Genetic Algorithm for Objective Function Combination." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/73576296031396200013.

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碩士<br>國立屏東科技大學<br>資訊管理系<br>93<br>When people face the problem, they will think about it with Reductionism or Attribution Theory. But here is the world of high complex, nonlinear. We can't solve problem only with Reductionism or Attribution no more. Because upon reason, we can use a concept of System Dynamics with dynamic complexity, causal relationship, feedback loop, nonlinear relationship and time delay to think about problem and solve problem. System Dynamics make people know the structure of system and then control the behavior of system. For historical reasons, optimization has

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Yang, Laurence. "A Bilevel Optimization Algorithm to Identify Enzymatic Capacity Constraints in Metabolic Networks - Development and Application." Thesis, 2008. http://hdl.handle.net/1807/10443.

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Constraint-based models of metabolism seldom incorporate capacity constraints on intracellular fluxes due to the lack of experimental data. This can sometimes lead to inaccurate growth phenotype predictions. Meanwhile, other forms of data such as fitness profiling data from growth competition experiments have been demonstrated to contain valuable information for elucidating key aspects of the underlying metabolic network. Hence, the optimal capacity constraint identification (OCCI) algorithm is developed to reconcile constraint-based models of metabolism with fitness profiling data by identify

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Cheng, Yine-Tai, and 鄭穎泰. "Development of a modified Genetic Algorithm in Optimization Design of 2-D Steel Rigid Frames." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/68568644616588897693.

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碩士<br>國立交通大學<br>土木工程學系<br>101<br>This work presents an enhanced genetic algorithm (GA)-based optimization model for optimizing design of 2D nonlinear steel-framed structures by integrating two new strategies, dynamic boundary approach (DBA) and probability-based immigration strategy. The strategy of DBA is utilized to provide feasible initial individuals that close to local or global minimum as the initial population for GA within a small number of iterations. In order to increase the exploitation in search, probability-based immigration strategy settles new individual out of original populati

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