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Dissertations / Theses on the topic 'Multi Objective Linear Model'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Lin, Xiaohai [Verfasser]. "Robust and Stochastic Model Predictive Control of Linear Systems with Predictable Additive Disturbance : with Application to Multi-Objective Adaptive Cruise Control / Xiaohai Lin." Düren : Shaker, 2020. http://d-nb.info/121347261X/34.

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2

Liang, Li. "Green Design of a Cellulosic Bio-butanol Supply Chain Network with Life Cycle Assessment." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/79488.

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The incentives and policies spearheaded by the U.S. government have created abundant opportunities for renewable fuel production and commercialization. Bio-butanol is a very promising renewable fuel for the future transportation market. Many efforts have been made to improve its production process, but seldom has bio-butanol research discussed the integration and optimization of a cellulosic bio-butanol supply chain network. This study focused on the development of a physical supply chain network and the optimization of a green supply chain network for cellulosic bio-butanol. To develop the ph

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3

Dujardin, Yann. "Régulation adaptative multi-objectif et multi-mode aux carrefours à feux." Phd thesis, Université Paris Dauphine - Paris IX, 2013. http://tel.archives-ouvertes.fr/tel-00904781.

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Afin de répondre à la problématique de la régulation multi-objectif et multi-mode des carrefours à feux, nous proposons trois modèles de programmation linéaire mixte en nombres entiers constituant les moteurs d'un système de régulation pleinement adaptatif, ainsi que deux procédures interactives d'optimisation multi-objectif permettant d'adapter itérativement une "politique de régulation" à la situation de trafic. Les critères pris en compte, tous à minimiser, sont le temps d'attente et le nombre d'arrêts des véhicules particuliers, et un critère dédié aux transports en commun permettant de fi

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4

Figueiredo, Marcelo Vilela [UNESP]. "Modelo multiobjetivo de análise envoltória de dados combinado com desenvolvimento de funções empíricas e otimização via simulação Monte Carlo." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/150767.

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Submitted by MARCELO VILELA FIGUEIREDO null (marcelo_mvf@yahoo.com.br) on 2017-05-25T23:07:30Z No. of bitstreams: 1 Dissertação.pdf: 1014783 bytes, checksum: 22908ac56d455abd6c044c5f2ad518ac (MD5)<br>Rejected by Luiz Galeffi (luizgaleffi@gmail.com), reason: Solicitamos que realize uma nova submissão seguindo a orientação abaixo: O arquivo submetido não contém o certificado de aprovação. O arquivo submetido está sem a ficha catalográfica. A versão submetida por você é considerada a versão final da dissertação/tese, portanto não poderá ocorrer qualquer alteração em seu conteúdo ap

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5

Cascini, Alessandro. "Innovative approaches and models for Green Supply Chain Management: from Design for Environment to Reverse Logistics." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424620.

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Emerging environmental, social and economic issues have attracted increasing global concern over the course of the last decade. Many entities, such as governments and companies have taken on the label of “sustainable” to attempt to conciliate the public or try to gain a competitive advantage in the marketplace, but still struggle in effectively integrating sustainability principles into their project or development. Green Supply Chain Management (GSCM) is a comprehensive philosophy developed in the last years to support companies and governments to improve their environmental sustainability

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6

Mohamed, Radzi Nor Haizan. "Multi-objective planning using linear programming." Thesis, University of Strathclyde, 2010. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=15344.

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Bullock, Frederick G. "Optimizing truckload assignments using multi-objective linear programming." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ46288.pdf.

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8

Ramakrishnan, V. S., and Jeremy F. 1939 Shapiro. "Analyzing Multi-Objective Linear Programs by Lagrange Multipliers." Massachusetts Institute of Technology, Operations Research Center, 1990. http://hdl.handle.net/1721.1/5191.

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9

Bullock, Frederick G. "Optimizing truckload assignments using multi-objective linear programming." Thesis, University of New Brunswick, 1996. http://hdl.handle.net/1882/617.

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10

Rögnvaldsson, Kristján Óttar. "Multi-Objective Mixed-Integer Linear Optimisation of Aircraft Load Planning." Thesis, KTH, Optimeringslära och systemteori, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253363.

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A general multi-objective optimisation model is developed for the load planning decision process of a bulk loaded commercial aircraft, using the Airbus A321 fitted with additional fuel tanks as a baseline platform. The model’s input is a specific set of load items, with associated quantities, mass and volume. The output is a load plan, stating where each item should be loaded and in what quantity. The load plans should be optimal with respect to a target centre of gravity range and handling efficiency. Furthermore, the solutions should be robust with respect to perturbations in the input data.

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11

Ramakrishnan, V. S., and Jeremy F. 1939 Shapiro. "Analyzing Multi-Objective Linear and Mixed Integer Programs by Lagrange Multipliers." Massachusetts Institute of Technology, Operations Research Center, 1991. http://hdl.handle.net/1721.1/5322.

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A new method for multi-objective optimization of linear and mixed programs based on Lagrange multiplier methods is developed. The method resembles, but is distinct from, objective function weighting and goal programming methods. A subgradient optimization algorithm for selecting the multipliers is presented and analyzed. The method is illustrated by its application to a model for determining the weekly re-distribution of railroad cars from excess supply areas to excess demand areas, and to a model for balancing cost minimization against order completion requirements for a dynamic lot size mode

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12

Sarpong, Boadu Mensah. "Column generation for bi-objective integer linear programs : application to bi-objective vehicle routing problems." Phd thesis, INSA de Toulouse, 2013. http://tel.archives-ouvertes.fr/tel-00919861.

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L'optimisation multi-objectif concerne la résolution de problèmes pour lesquels plusieurs objectifs (ou critères) contradictoires sont pris en compte. Contrairement aux problèmes d'optimisation ayant un seul objectif, un problème multi-objectif ne possède pas une valeur optimale unique mais plutôt un ensemble de points appelés "ensemble non dominé". Les bornes inférieures et supérieures d'un problème multi-objectif peuvent être également décrites par des ensembles. Dans la pratique, les variables utilisées en optimisation multiobjectif représentent souvent des objets non fractionnables et on p

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13

Anderson, Russell Kay. "Decision support for multi-objective linear programming using an interactive graphic presentation." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186950.

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Many decisions in real world applications are based on conflicting criteria or objectives. In order to improve one objective, it is necessary to sacrifice another. Linear programming has long been used to optimize a single objective. When a linear programming problem involves multiple objectives (MOLP), it is usually not possible to locate a single solution that simultaneously optimizes all objectives. Hence, a methodology is needed to help the decision maker (DM) explore the space of feasible solutions in order to locate an acceptable compromise solution. An interactive approach that supports

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Tsuga, Toshihiro. "Multi-objective optimization of blast simulation using surrogate model." Fairfax, VA : George Mason University, 2007. http://hdl.handle.net/1920/2916.

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Thesis (M.S.)--George Mason University, 2007.<br>Title from PDF t.p. (viewed Jan. 22, 2008). Thesis director: Rainald Löhner. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computational Sciences and Informatics. Vita: p. 49 Includes bibliographical references (p. 44-48). Also available in print.

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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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Ujihara, Rintaro. "Multi-objective optimization for model selection in music classification." Thesis, KTH, Optimeringslära och systemteori, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298370.

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With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. The collaborating company of this thesis, Ichigoichie AB, is currently developing a system to categorize music data into positive/negative classes. To enhance the accuracy of the existing system, thi

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17

Amouzgar, Kaveh. "Metamodel based multi-objective optimization." Licentiate thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28432.

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As a result of the increase in accessibility of computational resources and the increase in the power of the computers during the last two decades, designers are able to create computer models to simulate the behavior of a complex products. To address global competitiveness, companies are forced to optimize their designs and products. Optimizing the design needs several runs of computationally expensive simulation models. Therefore, using metamodels as an efficient and sufficiently accurate approximate of the simulation model is necessary. Radial basis functions (RBF) is one of the several met

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Archila, Daniel. "Development and evaluation of a multi-objective optimization model for multi-reservoir systems." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/51894.

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The BC Hydro and Power Authority is the largest electric utility in the province of British Columbia, Canada. With a generating capacity of more than 12,000 MW, it serves almost 2 million customers in the province. It operates 31 hydroelectric facilities, most of them located in multi-reservoir systems. In order to facilitate the operation of these reservoirs, BC Hydro developed an in-house application called the Operations Planning Tool (OPT), a deterministic Linear Programming (LP) model that provides the optimal operation of the multi-reservoir systems considering multiple purposes. The obj

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19

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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Kennedy, Maureen C. "Multi-objective optimization for ecological model assessment and theory development /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/6373.

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Abdelghafar, Osman Haitham Mohamed Osman. "Tuning model based predictive control using multi-objective evolution algorithms." Thesis, University of Newcastle Upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420026.

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Mian, Zhibao. "Model transformation for multi-objective architecture optimisation for dependable systems." Thesis, University of Hull, 2014. http://hydra.hull.ac.uk/resources/hull:10519.

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Model-based engineering (MBE) promises a number of advantages for the development of embedded systems. Model-based engineering depends on a common model of the system, which is refined as the system is developed. The use of a common model promises a consistent and systematic analysis of dependability, correctness, timing and performance properties. These benefits are potentially available early and throughout the development life cycle. An important part of model-based engineering is the use of analysis and design languages. The Architecture Analysis and Design Language (AADL) is a new modelli

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23

Xu, Cong. "Multi-objective optimization approaches to efficiency assessment and target setting for bank branches." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/multiobjective-optimization-approaches-to-efficiency-assessment-and-target-setting-for-bank-branches(eef70a4a-359d-40ed-9b6c-3eeb98fe477a).html.

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This thesis focuses on combining data envelopment analysis (DEA) and multi-objective linear programming (MOLP) methods to set targets by referencing peers' performances and decision-makers' (DMs) preferences. A large number of past papers have proven the importance of a company having a target; however, obtaining a feasible but challenging target has always been a difficult topic for companies. Since DEA was proposed in 1978, it has become one of the most popular performance assessment tools. The performance possibility set and efficient frontier established by DEA provide solid and scientific

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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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Wu, Zheng. "Hybrid Multi-Objective Optimization Models for Managing Pavement Assets." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/26092.

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Increasingly tighter budgets, changes in government role/function, declines in staff resources, and demands for increased accountability in the transportation field have brought unprecedented challenges for state transportation officials at all management levels. Systematic methodologies for effective management of a specific type of infrastructure (e.g., pavement and bridges) as well as for holistically managing all types of infrastructure assets are being developed to approach these challenges. In particular, the intrinsic characteristics of highway system make the use of multi-objective opt

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Brister, Kenneth Eugene. "MULTI-OBJECTIVE DESIGN OPTIMIZATION USING METAMODELING TECHNIQUES AND A DAMAGE MATERIAL MODEL." MSSTATE, 2007. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07032007-121410/.

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In this work, the effectiveness of multi-objective design optimization using metamodeling techniques and an internal state variable (ISV) plasticity damage material model as a design tool is demonstrated. Multi-objective design optimization, metamodeling, and ISV plasticity damage material models are brought together to provide a design tool capable of meeting the stringent structural design requirements of today and of the future. The process of implementing this tool are laid out, and two case studies using multi-objective design optimization were carried out. The first was the optimization

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Ververidis, Konstantinos Athanasiou. "A multi-objective bi-level optimisation model for agricultural policy in Scotland." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/3182.

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Agricultural policy analysis can be visualised as a multiple objective hierarchical optimisation problem whereby sequential non-cooperative interactions between the policy makers and the farmers take place. The objectives and choices of policy makers will almost always diverge from the objectives and choices of farmers. Policy makers exercise authority over some, but not all, of the variables in the total system whereas other variables affecting their multiple goals are under the direct control of myriad farmers who operate according to their own utility maximising motives. In order to advance

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Konstantinos, V. "A multi-objective bi-level optimisation model of agricultural policy in Scotland." Thesis, University of Edinburgh, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.653538.

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Agricultural policy analysis can be visualised as a multiple objective hierarchical optimisation problem whereby sequential non-cooperative interactions between policy makers and farmers take place. The objectives and choices of policy makers will almost always diverge from the objectives and choices of farmers. This thesis shows how multi-objective genetic algorithms (MOGA) in conjunction with mathematical programming can be used for solving this type of problem. A positive mathematical programming (PMP) model is developed to capture the production choices of farmers, and its objective functi

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Brister, Kenneth Eugene. "Multi-objective design optimization using metamodelling techniques and a damage material model." Master's thesis, Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-07032007-121410.

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Albin, Alfredo. "Development of a multi-objective goal programming model for the European apple industry." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/26657.

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Within the European Union and throughout the world, apples are an important fruit crop and the EU apple industry sustains a healthy internal and external market. Consumers demand a high quality blemish-free product, which has inevitably dictated an intensive pattern of pesticide use to control pests and diseases throughout the industry. As a consequence, apple orchards are often treated with a continuous dosage of chemical sprays during its operational life, defending the crop against insect and fungal diseases. In turn, this pattern of intensive agro-chemical management has created social, ec

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May, Jeffrey Lee. "Developing a Multi-Objective Decision Model for Maximizing IS Security within an Organization." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/914.

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Numerous IS researchers have argued that IS Security can be more effectively managed if the emphasis goes beyond the technical means of protecting information resources. In an effort to adopt a broader perspective that accounts for issues that transcend technical means alone, Dhillon and Torkzadeh (2006) present an array of 9 fundamental and 16 means objectives that are essential for maximizing IS security in an organization. These objectives were derived using a value-focused thinking approach and are organized into a conceptual framework. This conceptual framework provides a rigorous theo

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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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33

Watchareeruetai, Ukrit, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, and Noboru Ohnishi. "Construction of image feature extractors based on multi-objective genetic programming with redundancy regulations." IEEE, 2009. http://hdl.handle.net/2237/13923.

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Dukyil, Abdulsalam Saleh. "Artificial intelligence and multiple criteria decision making approach for a cost-effective RFID-enabled tracking management system." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/17128.

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The implementation of RFID technology has been subject to ever-increasing popularity in relation to the traceability of items as one of the most advance technologies. Implementing such a technology leads to an increase in the visibility management of products. Notwithstanding this, RFID communication performance is potentially greatly affected by interference between the RFID devices. It is also subject to auxiliary costs in investment that should be considered. Hence, seeking a cost-effective design with a desired communication performance for RFID-enabled systems has become a key factor in o

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Roul, Subash Chandra. "Multi-Objective Integer Linear Programming Model for Path Optimization in Wavelength Division Multiplexing Networks." Thesis, 2015. http://ethesis.nitrkl.ac.in/7008/1/Multi-Objective_Integer_Roul_2015.pdf.

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Optical networks with Wavelength Division Multiplexing (WDM) has been the solution for the need of increasing bandwidth demand. In this kind of networks the fiber link is divided into a number of channels. In each channel a light wave of a particular wavelength can be transmitted. So, in a single fiber more than one light waves of different wavelengths can be transmitted simultaneously with the use of multiplexers and demultiplexers. In WDM optical networks there are two problems. First one is providing a path for a source to destination pair, and second one providing a wavelength to the path

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Chao, Yi-Shu, and 趙逸書. "Interactive Two-Phase Method to Build Fuzzy Multi-Objective Linear Programming Project Management Decision Model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/bc38ed.

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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>98<br>The belief that the project manager, a person in charge of the project management (PM), plays a very important role to handle conflicting goals with the usage of all related resources through the organization is beyond doubt. The main purpose of the project management is to minimize the project completion time, total project and crashing cost with the reference to both direct and indirect cost and other related constraints simultaneously. This work focuses on developing an interactive two-phase method for solving the fuzzy mulit-objective PM decision probl

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Chia-JungChang and 張佳蓉. "Fuzzy multi-objective linear programming models for the design of product reliability." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/12744258315695807794.

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碩士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>98<br>The competitive strategies in developing new technologies should consider short product design cycles. Therefore, the way to introduce new products of high customer satisfaction in the "Time to Market" becomes an important topic at the new product development and planning stage, in which the new product reliability certification usually plays an important role for the success of new products. Two challenges are generally faced with management. Firstly, knowledge on new materials or new process development is limited. In addition, it is difficult to effect

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Carvalho, Ariovaldo Lopes de. "A hybrid Input-Output multi-objective model to assess economic-energy-environment trade-offs: an application to Brazil and prospective sugarcane bioethanol technologies." Doctoral thesis, 2016. http://hdl.handle.net/10316/27127.

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Tese de doutoramento em Sistemas de Energia Sustentável, apresentada ao Departamento de Engenharia Mecânica da Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>As relações entre o consumo de energia, o crescimento econômico e os impactos ambientais são determinantes para o processo de formulação de políticas. A Análise Input-Output (AIO) tem sido usada para estudar inter/intra-relações entre os diferentes setores económicos, bem como estendida para a análise dos sistemas energético e ambiental. Modelos de Programação Linear Multi-objetivo (PLMO) utilizando a estrutura Input-Out

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Chao, Kuo-Chin, and 趙郭晉. "A Multi-objective Slot Allocation Model in Liner Shipping by Considering of Freight Marginal Contributions and Re-positioning Costs Simultaneously." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/6539s6.

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碩士<br>國立臺灣海洋大學<br>運輸科學系<br>104<br>As liner shipping is one sector of the large scale transportation industries, most liner companies need to invest large amounts of capital on vessels and containers to provide route services. However, due to this current competitive market, freight rate increase is very hard to achieve and most liner companies cannot make reasonable profits. Additionally, most liner companies have been increasing their fleet and service routes, and they deploy large-size containerships to Asia/Europe and Asia/America routes. These approaches resulted in over-capacity, low capa

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LAI, JIAN-ZHANG, and 賴錦璋. "Weighting techniques on multi-objective linear programming." Thesis, 1988. http://ndltd.ncl.edu.tw/handle/88685652119513898238.

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Dubey, Dipti. "Manifesting bipolarity in multi-objective flexible linear programming." Thesis, 2013. http://localhost:8080/xmlui/handle/12345678/6549.

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Lee, Huey-Min, and 李惠民. "Applications of Fuzzy Linear Programming Approach to Multi- objective Power Dispatch." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/35785216313754125209.

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碩士<br>國立成功大學<br>電機工程研究所<br>84<br>This thesis presents a new fuzzy linear programming (FLP) approach to determine the multiobjective power dispatch problem where the objectives of minimum fuel cost and minimum environ- mental impact of nitrogen oxides (NOx) emission are considered. The FLP technique first optimizes each objective separately to obtain respective minimum attainable cost and emission and the corresponding maximum values of the other objective. Through these minimum and maximum

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Husak, Oleksandr. "Compositional Multi-objective Parameter Tuning." 2020. https://tud.qucosa.de/id/qucosa%3A71429.

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Multi-objective decision-making is critical for everyday tasks and engineering problems. Finding the perfect trade-off to maximize all the solution's criteria requires a considerable amount of experience or the availability of a significant number of resources. This makes these decisions difficult to achieve for expensive problems such as engineering. Most of the time, to solve such expensive problems, we are limited by time, resources, and available expertise. Therefore, it is desirable to simplify or approximate the problem when possible before solving it. The state-of-the-art approach for s

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Benjamin, Michael R. "The Interval Programming Model for Multi-objective Decision Making." 2004. http://hdl.handle.net/1721.1/30416.

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The interval programming model (IvP) is a mathematical programmingmodel for representing and solving multi-objective optimizationproblems. The central characteristic of the model is the use ofpiecewise linearly defined objective functions and a solution methodthat searches through the combination space of pieces rather thanthrough the actual decision space. The piecewise functions typicallyrepresent an approximation of some underlying function, but thisconcession is balanced on the positive side by relative freedom fromfunction form assumptions as well as the assurance of global optimality.In

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Liou, Jaw-Rong, and 劉昭榮. "A Multi-objective Programming Model of Airlines Flight Scheduling." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/54557226849217170212.

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Chung, Han-Chang, and 鍾漢璋. "Constructing the Fuzzy Regression Model by Multi-Objective Programming." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/2c57uc.

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碩士<br>國立臺北科技大學<br>工業工程與管理系碩士班<br>101<br>The traditional regression analysis is an important analysis tool, it can help the decision makers to know the relationship between the dependent and independant variables. The real world exists a lot of uncertainty, therefore the fuzzy regression is develope. Fuzzy regression can be used to analyze the social problems that exist fuzziness or uncertainty. Original fuzzy regression analysis increases the fuzziness when the number of the observed data increases that causing the spread of estimated value increases, and the forecasting accuracy of fuzzy regr

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Hsieh, Chih-Yi, and 謝志毅. "Applying Compromise Model to Multi-objective Aggregate Production Planning." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/54927116421458812251.

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碩士<br>萬能科技大學<br>經營管理研究所<br>94<br>Aggregate production planning (APP) involves meeting the demand of ever changing customer orders in the medium term, which are 6 to 18 months prior to the production. In this research, we show a compromise model for solving the multi-objective production aggregate production planning in a certain environment. The proposed model can provide a compromise index which is adjustable by the decision maker according to reveal the way of change on the degree of satisfaction for each objective. Keyword：Aggregate production planning ;compromise model

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Wei-Chien, Huang, and 黃維謙. "Multi-objective Programming Model for Selecting Pavement Maintenance Method." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/82460639127523498328.

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碩士<br>國立交通大學<br>交通運輸研究所<br>87<br>According to the highway networks completed gradually in Taiwan, the road engineering already advances form the elementary technique level to the complicated management level. In addition, the number of motor vehicles in Taiwan expanding rapidly in recent years lead to the frequent distress to the pavement, which not only effect the road service but also cause possibly the negative impact on road user from time to time. In order to reduce the negative impact on road user, meet their requirement on safer and more comfortable road service, and add the life-cycl

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Chen, Chien-Chu, and 陳建助. "Application of Fuzzy Multi-Objective Linear Programming on the Robust Resource-Constrained Multi-Project Scheduling Problems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/76354092911141579847.

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碩士<br>國立屏東科技大學<br>工業管理系所<br>97<br>The purpose of this study is to formulate a fuzzy multiobjective non-linear programming (FMONLP) model to solve the robust resource-constrained multi-project scheduling problems (RRCMPSP). Project slack time and maximization robustness are considered as factors in terms of project resources and capital limitation in the proposed model. An optimal satisfactory level is deployed to demonstrate the trade-offs among fuzzy multi-objectives for the use of project managers. The implementation is designed as several aspects to demonstrate the parameter variations of F

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Chang, Shi-Hui, and 張仕慧. "A Study of Reservoir Water Pollution Control Using Multi-Objective Gray Linear Programming." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/66786546532240866315.

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碩士<br>逢甲大學<br>環境工程與科學所<br>95<br>The governments of Taiwan are aggressively promoting water quality improvements in reservoirs. Asides point and non-point pollution from pollutants released reservoir benthics also exacerbates the water quality problem. With limited resources and budget, it is imperative to identify best management practices (BMPs) in pollution control strategies for multi-objective reservoirs that include water quality, water supply and power generation, and tourism. The objective of this research is to develop a multi-objective gray linear programming model for reservoirs.

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