Relevant bibliographies by topics / Multi-objective Design / Dissertations / Theses
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Dissertations / Theses on the topic 'Multi-objective Design'

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Published: 14 December 2024
Last updated: 19 July 2025

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1

Kipouros, Timoleon. "Multi-objective aerodynamic design optimisation." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614261.

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2

Nezhadali, Vaheed. "Multi-objective optimization of Industrial robots." Thesis, Linköpings universitet, Maskinkonstruktion, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283.

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Industrial robots are the most widely manufactured and utilized type of robots in industries. Improving the design process of industrial robots would lead to further developments in robotics industries. Consequently, other dependant industries would be benefited. Therefore, there is an effort to make the design process more and more efficient and reliable. The design of industrial robots requires studies in various fields. Engineering softwares are the tools which facilitate and accelerate the robot design processes such as dynamic simulation, structural analysis, optimization, control and so
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3

Liu, Wei. "A multi-objective approach for RMT design." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27149.

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A reconfigurable manufacturing system (RMS) is designed for rapid adjustment of manufacturing capacity and functionality in response to market changes. An RMS consists of a number of reconfigurable machine tools (RMTs) which can process different jobs by quickly changing processing modules. The potential benefits of an RMS may not be achieved if an RMS is not properly designed. Most of the related studies focus on a few individual technical issues, in particular on modularity or configurability of individual RMTs. Other important concerns such as cost and processing accuracy have not been adeq
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4

Li, Yinjiang. "Robust multi-objective optimisation in electromagnetic design." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/415498/.

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In electromagnetic design, optimisation often involves evaluating the finite element method (FEM) – repetitive evaluation of the objective function may require hours or days of computation, making the use of standard direct search methods (e.g. genetic algorithm and particle swarm) impractical. Surrogate modelling techniques are helpful tools in these scenarios. Indeed, their applications can be found in many aspects of engineering design in which a computationally expensive model is involved. Kriging, one of the most widely used surrogate modelling techniques, has become an increasingly activ
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5

Ramadan, Saleem Z. "Bayesian Multi-objective Design of Reliability Testing." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1298474937.

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6

El-Sayed, Jacqueline Johnson. "Multi-objective optimization of manufacturing processes design /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841282.

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7

Faragalli, Michele. "Multi-objective design optimization of compliant lunar wheels." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=117030.

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The development of the wire-mesh wheel of the Apollo Lunar Roving Vehicle was realized through a time consuming trial and error design process, primarily driven by manufacturability and physical testing. Recent wheel development, motivated by renewed interest in lunar surface exploration, utilizes more sophisticated numerical simulation tools. However, many researchers still employ trial and error or parametric approaches to designing the wheels. This thesis proposes a systematic approach to the design optimization of compliant lunar wheels. The problem is decomposed into system and component
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8

Skinner, Benjamin Adam. "Multi-objective evolutionary optimisation of submarine propulsion design." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611230.

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9

Brown, Nathan C. (Nathan Collin). "Early building design using multi-objective data approaches." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123573.

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Thesis: Ph. D. in Architecture: Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 201-219).<br>During the design process in architecture, building performance and human experience are increasingly understood through computation. Within this context, this dissertation considers how data science and interactive optimization techniques can be combined to make simulation a more effective component of a natural early design process. It focuses on conceptual design, since
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10

Paik, Sangwook. "Multi-objective optimal design of steel trusses in unstructured design domains." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/3124.

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Researchers have applied genetic algorithms (GAs) and other heuristic optimization methods to perform truss optimization in recent years. Although a substantial amount of research has been performed on the optimization of truss member sizes, nodal coordinates, and member connections, research that seeks to simultaneously optimize the topology, geometry, and member sizes of trusses is still uncommon. In addition, most of the previous research is focused on the problem domains that are limited to a structured domain, which is defined by a fixed number of nodes, members, load locations, and load
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11

Demko, Daniel Todd. "Tools for Multi-Objective and Multi-Disciplinary Optimization in Naval Ship Design." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/31743.

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This thesis focuses on practical and quantitative methods for measuring effectiveness in naval ship design. An Overall Measure of Effectiveness (OMOE) model or function is an essential prerequisite for optimization and design trade-off. This effectiveness can be limited to individual ship missions or extend to missions within a task group or larger context. A method is presented that uses the Analytic Hierarchy Process combined with Multi-Attribute Value Theory to build an Overall Measure of Effectiveness and Overall Measure of Risk function to properly rank and approximately measure the re
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12

Wu, Hao, and 吴昊. "A multi-objective optimization model for green building design." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49618155.

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As a major energy consumer and CO2 emitter, buildings have an undeniably important role to play in cutting carbon emissions and combating climate change. Over the recent decades, green buildings have gained increasing attention and popularity from various stakeholders in the construction industry. Green building design practice builds upon the conventional building design practice but adds the concerns of environmental impacts and occupants’ well-being in the design philosophy. Many researchers advocate utilizing optimization for green building design due to its capability in obtaining impro
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13

Hawe, Glenn. "Kriging methods for constrained multi-objective electromagnetic design optimization." Thesis, University of Southampton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444159.

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14

Brown, Nathan C. (Nathan Collin). "Multi-objective optimization for the conceptual design of structures." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106367.

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Thesis: S.M. in Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 107-113).<br>Using computational tools, fast and accurate predictions of building performance are increasingly possible. In parallel, the expectations of a high-performance building have been rising in contemporary architecture, as des
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15

Lisk, D. M. "A multi-objective optimisation framework for missile aerodynamic design." Thesis, Queen's University Belfast, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679038.

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Engineering systems are designed to perform particular functions to a given specification. Optimisation is the process of finding the design which best achieves these goals or objectives. Until now, the aerodynamic design of missile systems has been performed using single-objective optimisation and semi-empirical models. An optimisation framework has been developed and tailored for the multi-objective optimisation of projectiles. The framework is demonstrated on three different configurations of projectile: body-tails, body-canards-tails and body-canards-tails with a rotating nose, with up to
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16

Cvetkovic, Dragan. "Evolutionary multi-objective decision support systems for conceptual design." Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/2328.

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In this thesis the problem of conceptual engineering design and the possible use of adaptive search techniques and other machine based methods therein are explored. For the multi-objective optimisation (MOO) within conceptual design problem, genetic algorithms (GA) adapted to MOO are used and various techniques explored: weighted sums, lexicographic order, Pareto method with and without ranking, VEGA-like approaches etc. Large number of runs are performed for findingZ Dth e optimal configuration and setting of the GA parameters. A novel method, weighted Pareto method is introduced and applied
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17

Loosemore, Heather Anne. "The multi-objective optimum design of building thermal systems." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/35973.

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The thermal design of buildings as a multi-criterion optimisation process since there is always a pay-off (balance) to be made between capital expenditure and the operating cost of the building. This thesis investigates an approach to solving 'whole building' optimisation problems. In particular simultaneous optimisation of the plant size for a fixed arrangement of air conditioning equipment, and the control schedule for its operation to condition the space within a discrete selection of building envelopes. The optimisation is achieved by examining a combination of the cost of operating the pl
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18

Rajagopalan, Ramesh. "A multi-objective optimization approach for sensor network design." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2008. http://wwwlib.umi.com/cr/syr/main.

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19

Seeger, J., and K. Wolf. "Multi-objective design of complex aircraft structures using evolutionary algorithms." Sage, 2011. https://publish.fid-move.qucosa.de/id/qucosa%3A38441.

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In this article, a design methodology for complex composite aircraft structures is presented. The developed approach combines a multi-objective optimization method and a parameterized simulation model using a design concept database. Due to the combination of discrete and continuous design variables describing the structures, evolutionary algorithms are used within the presented optimization approach. The approach requires an evaluation of the design alternatives that is performed by parameterized simulation models. The variability of these models is achieved using a design concept database th
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20

Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The two vehicles wings which were optim
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21

Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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Master of Engineering (Research)<br>The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The
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22

Vadamodala, Lavanya. "Reliability Based Multi-Objective Design Optimization for Switched Reluctance Machines." University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron162033146640203.

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23

Good, Nathan Andrew. "Multi-Objective Design Optimization Considering Uncertainty in a Multi-Disciplinary Ship Synthesis Model." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/34532.

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Multi-disciplinary ship synthesis models and multi-objective optimization techniques are increasingly being used in ship design. Multi-disciplinary models allow designers to break away from the traditional design spiral approach and focus on searching the design space for the best overall design instead of the best discipline-specific design. Complex design problems such as these often have high levels of uncertainty associated with them, and since most optimization algorithms tend to push solutions to constraint boundaries, the calculated "best" solution might be infeasible if there are min
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24

Sánchez, Corrales Helem Sabina. "Multi-objective optimization and multicriteria design of PI /PID controllers." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/393990.

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Hoy en día, los controladores proporcionales integrales y proporcionales integrales derivativos son los algoritmos de control más utilizado en la industria. Por otra parte, los controladores fraccionarios han recibido atención recientemente, por parte de la comunidad científica y desde el punto de vista industrial. Debido a esto, en esta tesis algunos de los escenarios implican la sintonización de estos controladores mediante el procedimiento de diseño mediante la optimización multi-objetivo. Este procedimiento se centra en proporcionar un equilibrio razonable entre los objetivos en conf
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25

Ray, Subhasis. "Multi-objective optimization of an interior permanent magnet motor." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116021.

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In recent years, due to growing environmental awareness regarding global warming, green cars, such as hybrid electric vehicles, have gained a lot of importance. With the decreasing cost of rare earth magnets, brushless permanent magnet motors, such as the Interior Permanent Magnet Motor, have found usage as part of the traction drive system in these types of vehicles. As a design issue, building a motor with a performance curve that suits both city and highway driving has been treated in this thesis as a multi-objective problem; matching specific points of the torque-speed curve to the desired
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26

Bailey, Breanna Michelle Weir. "Incorporating user design preferences into multi-objective roof truss optimization." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5932.

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Automated systems for large-span roof truss optimization provide engineers with the flexibility to consider multiple alternatives during conceptual design. This investigation extends previous work on multi-objective roof truss optimization to include the design preferences of a human user. The incorporation of user preferences into the optimization process required creation of a mechanism to identify and model preferences as well as discovery of an appropriate location within the algorithm for preference application. The first stage of this investigation developed a characteristic feature vect
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27

Goteng, Gokop. "Development of a grid service for multi-objective design optimisation." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/4423.

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The emerging grid technology is receiving great attention from researchers and applications that need computational and data capabilities to enhance performance and efficiency. Multi-Objective Design Optimisation (MODO) is computationally and data challenging. The challenges become even more with the emergence of evolutionary computing (EC) techniques which produce multiple solutions in a single simulation run. Other challenges are the complexity in mathematical models and multidisciplinary involvement of experts, thus making MODO collaborative and interactive in nature. These challenges call
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28

Saddawi, Salwan David. "Multi-objective computational engineering design optimisation for micro-combustor devices." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/7958.

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Engineering and Physical Sciences Research Council<br>This thesis describes the development of a multi-objective automated optimisation system to be used for the design optimisation of micro-scale combustion devices. The developed system described within integrates a commercial computational fluid dynamics package and a multi-objective variant of the Tabu Search optimisation algorithm for continuous problems, which is a heuristic optimisation technique that exhibits local search characteristics. Recent advances in micro-fabrication techniques have resulted in increasing interest from i
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29

Hancock, Simon David. "Gas turbine engine controller design using multi-objective optimization techniques." Thesis, Bangor University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304616.

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30

Chong, Gregory Chow Ye. "Trajectory-scheduling control systems and their multi-objective design automation." Thesis, University of Glasgow, 2006. http://theses.gla.ac.uk/3728/.

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This thesis encompasses the analysis of TSN systems and their multi-objective design methods. TSN nodes are networked through interpolation and activation, similar to a gain-scheduling or local model/controller network. However, to achieve accuracy and ease of commissioning without requiring a large number of nodes, an algorithm has been developed first to identify optimum transition nodes within the entire operating envelope. Then the TSN approaches a nonlinear plant globally, not just locally, without requiring linearization. If desired or necessary, global optimisation provides an enhanceme
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31

Raad, Darian Nicholas. "Multi-objective optimisation of water distribution systems design using metaheuristics." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6617.

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Thesis (PhD (Logistics))--University of Stellenbosch, 2011.<br>ENGLISH ABSTRACT: The design of a water distribution system (WDS) involves finding an acceptable trade-off between cost minimisation and the maximisation of numerous system benefits, such as hydraulic reliability and surplus capacity. The primary design problem involves cost-effective specifica- tion of a pipe network layout and pipe sizes (which are typically available in a discrete set of commercial diameters) in order to satisfy expected consumer water demands within required pressure limits. The problem may be extended to c
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32

Wang, Cong. "Optimal Design of District Energy Systems: a Multi-Objective Approach." Licentiate thesis, KTH, Installations- och energisystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192948.

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The aim of this thesis is to develop a holistic approach to the optimal design of energy systems for building clusters or districts. The emerging Albano university campus, which is planned to be a vivid example of sustainable urban development, is used as a case study through collaboration with the property owners, Akademiska Hus and Svenska Bostäder. The design addresses aspects of energy performance, environmental performance, economic performance, and exergy performance of the energy system. A multi-objective optimization approach is applied to minimize objectives such as non-renewable prim
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33

Mierzwicki, Timothy Stephen. "Risk Index for Multi-Objective Design Optimization of Naval Ships." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/31742.

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The naval ship concept design process often embraces novel concepts and technologies that carry with them an inherent risk of failure simply because their application is the first of its kind. Failure is recognized by gaps between actual and required measures of performance, exceeded budgets, and late deliveries. These risks can be defined and quantified as the product of the probability of an occurrence of failure and a measure of the consequence of that failure. Since the objective of engineering is to design and build things to meet requirements, within budget, and on schedule the first
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34

Hinckley, David William. "Multi-Objective Optimization Mission Design for Small-Body Coverage Missions." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1132.

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Missions concerning small-body celestial objects are of growing interest due to the resources and information they can provide. Such missions require detailed information about the surface of the body for interactions, such as landing on the surface, as well as predicting the gravity field of the object. This work provides a means of optimizing the mission elements of trajectory and imaging target schedules so that the level of knowledge of the surface can be increased. The information required to increase one's knowledge of the surface is described as a set of conditions placed on the collect
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35

Weber, A., S. Fasoulas, and K. Wolf. "Conceptual interplanetary space mission design using multi-objective evolutionary optimization and design grammars." Sage, 2011. https://publish.fid-move.qucosa.de/id/qucosa%3A38443.

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Conceptual design optimization (CDO) is a technique proposed for the structured evaluation of different design concepts. Design grammars provide a flexible modular modelling architecture. The model is generated by a compiler based on predefined components and rules. The rules describe the composition of the model; thus, different models can be optimized by the CDO in one run. This allows considering a mission design including the mission analysis and the system design. The combination of a CDO approach with a model based on design grammars is shown for the concept study of a near-Earth asteroi
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36

Gonzalez, Luis F. "Robust evolutionary methods for multi-objective and multdisciplinary design optimisation in aeronautics." Phd thesis, School of Aerospace, Mechanical and Mechatronic Engineering, 2005. http://hdl.handle.net/2123/6296.

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37

Ozdemir, Segah. "Multi Objective Conceptual Design Optimization Of An Agricultural Aerial Robot (aar)." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606610/index.pdf.

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Multiple Cooling Multi Objective Simulated Annealing algorithm has been combined with a conceptual design code written by the author to carry out a multi objective design optimization of an Agricultural Aerial Robot. Both the single and the multi objective optimization problems are solved. The performance figures of merits for different aircraft configurations are compared. In this thesis the potential of optimization as a powerful design tool to the aerospace problems is demonstrated.
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38

Pathi, Soumya Sundar. "Investigation of genetic algorithm design representation for multi-objective truss optimization." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4430.

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The objective of this research is to develop a flexible design grammar and genetic algorithm representation to be used in a multi-objective optimization method to design efficient steel roof trusses given space dimensions and loading requirements by the user. The goal of implementing the method as a multi-objective problem is to obtain a set of near-optimal trusses for the defined unstructured problem domain, not just a single near-optimal design. The method developed was required to support the exploration of a broad range of conceptual designs before making design decisions. Therefore, a met
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39

Margonis, Sotirios. "Preliminary design of an autonomous underwater vehicle using multi-objective optimization." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/41415.

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Approved for public release; distribution is unlimited.<br>The aim of this work is to explore the applicability and usability of multi-objective optimization into various aspects of the design of an autonomous underwater vehicle (AUV). First, I begin with an introduction of the systems engineering design process and the background work for the multi-objective optimization process. Furthermore, I investigate and analyze the existing multi-objective optimization methods in decision making. I focus on various design aspects of an AUV such as the hull design, the weight distribution, the propulsio
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40

Trapani, Giuseppe. "The design of high lift aircraft configurations through multi-objective optimisation." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/8831.

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An approach is proposed in this work to support the preliminary design of High-Lift aircraft configurations through the use of Multi-Objective optimisation tech¬niques. For this purpose a framework is developed which collates a Free-Form De¬formation parametrisation technique, a number of Computational Fluid Dynamics suites of different fidelity levels, a rapid aero-structure coupling procedure and two multi-objective optimisation techniques, namely Multi-Objective Tabu Search and Non-dominated Sorting Genetic Algorithm-II. The proposed optimisation framework is used for the execution of sever
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41

Merello, Riccardo. "Design of a building structural skin using multi-objective optimization techniques." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34591.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Includes bibliographical references (leaves 56-57).<br>Multi-disciplinary System Design Optimization was used to design the geometry and to select the materials for the structural facade of a building. A multi-objective optimization model was developed, capable of optimizing the design of the facade on the basis of a lighting analysis of the interior, of a thermal analysis of the cooling loads corresponding to the skin configuration, and of a finite elements analysis of the supportin
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42

Tan, Melody M. Eng Massachusetts Institute of Technology. "Quantifying and integrating constructability into multi-objective steel floor framing design." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/104244.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, June 2016.<br>Cataloged from PDF version of thesis. "June 2016."<br>Includes bibliographical references (pages 51-52).<br>This thesis explores the benefits and tradeoffs of two significant constructability considerations in structural steel floor framing design. A new constructability strategy combining both standardization and steel availability is proposed, providing a clear, quantitative methodology for constructability integration. This strategy can be easily incorporated into various
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43

Afshari, Hamid. "Multi-objective optimal design of sustainable products and systems under uncertainty." American Society of Mechanical Engineering (ASME), 2013. http://hdl.handle.net/1993/31959.

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Sustainable approaches have been extensively proposed in product, process and system levels. However, a lack of applicable solutions for these methods is identified in the existing research. This research considers uncertainties affecting sustainable systems and comprehensively discusses the need for the optimal design in product and system levels under uncertainty. Based on the economic, social and environmental requirements of a sustainable product, and uncertainties in engineering systems, two innovative methods are proposed. The methods, including agent-based modeling (ABM) and Big Data,
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44

Hou, Shangjie. "An ontology-based holistic approach for multi-objective sustainable structural design." Thesis, Cardiff University, 2015. http://orca.cf.ac.uk/91138/.

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Building construction industry has significant impact on sustainability. The construction, operation and maintenance of buildings account for approximately 50% of global energy usage and anthropogenic greenhouse gas (GHG) emissions. In recent years, the embodied energy and carbon are identified increasingly important in terms of sustainability throughout building life cycle. Incorporation of sustainable development in building structural design becomes undoubtedly crucial. The effective building design requires smart and holistic tools that can process multi-objective and inter-connected domai
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45

Keskin, Akin. "Process integration and automated multi-objective optimization supporting aerodynamic compressor design." Aachen : Shaker, 2006. http://d-nb.info/997500840/34.

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46

Dedman, Phoebe Elizabeth. "Design of a Multi-objective Landing Trajectory Using Artificial Neural Networks." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10837984.

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<p> During approach and landing, the HL-20 follows a typical reusable launch vehicle (RLV) autoland trajectory: deep descent, followed by a parabolic flare, and final descent. The trajectory shape is determined by six independent parameters. An artificial neural network (ANN) is designed to generate the trajectory parameters for the HL-20 based on desired objectives using MATLAB&reg;&rsquo;s Neural Network Toolbox. This research examines three mission objectives: specifying flight time, specifying the final downrange position error, and specifying the average error between the desired angle of
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47

Limaye, Ameya Shankar. "Multi-objective process planning method for Mask Projection Stereolithography." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19717.

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Mask Projection Stereolithography (MPSLA) is a high resolution manufacturing process that builds parts layer by layer in a photopolymer. In this research, a process planning method to fabricate MPSLA parts with constraints on dimensions, surface finish and build time is formulated. As a part of this dissertation, a MPSLA system is designed and assembled. The irradiance incident on the resin surface when a given bitmap is imaged onto it is modeled as the Irradiance model . This model is used to formulate the Bitmap generation method which generates the bitmap to be imaged onto the resin in
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48

Shang, Jing. "MULTI-DOMAIN, MULTI-OBJECTIVE-OPTIMIZATION-BASED APPROACH TO THE DESIGN OF CONTROLLERS FOR POWER ELECTRONICS." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/52.

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Power converter has played a very important role in modern electric power systems. The control of power converters is necessary to achieve high performance. In this study, a dc-dc buck converter is studied. The parameters of a notional proportional-integral controller are to be selected. Genetic algorithms (GAs), which have been widely used to solve multi-objective optimization problems, is used in order to locate appropriate controller design. The control metrics are specified as phase margin in frequency domain and voltage error in time-domain. GAs presented the optimal tradeoffs between the
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49

Murphy, Jonathan Rodgers. "A robust multi-objective statistical improvement approach to electric power portfolio selection." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45946.

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Motivated by an electric power portfolio selection problem, a sampling method is developed for simulation-based robust design that builds on existing multi-objective statistical improvement methods. It uses a Bayesian surrogate model regressed on both design and noise variables, and makes use of methods for estimating epistemic model uncertainty in environmental uncertainty metrics. Regions of the design space are sequentially sampled in a manner that balances exploration of unknown designs and exploitation of designs thought to be Pareto optimal, while regions of the noise space are sampled t
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50

Jones, Dylan Francis. "The design and development of an intelligent goal programming system." Thesis, University of Portsmouth, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282556.

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