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Rozprawy doktorskie na temat „Constrained Multi-Objective Optimization”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

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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Lin, Maokai. "Multi-objective constrained optimization for decision making and optimization for system architectures." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/58188.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 171-174).<br>This thesis proposes new methods to solve three problems: 1) how to model and solve decision-making problems, 2) how to translate between a graphical representation of systems and a matrix representation of systems, and 3) how to cluster single and multiple Design Structure Matrices (DSM). To solve the first problem, the thesis provides an approach to model decisionmaking problems as multi-o

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Ebadi, Nasim. "Estimating Costs of Reducing Environmental Emissions From a Dairy Farm: Multi-objective epsilon-constraint Optimization Versus Single Objective Constrained Optimization." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99304.

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Agricultural production is an important source of environmental emissions. While water quality concerns related to animal agriculture have been studied extensively, air quality issues have become an increasing concern. Due to the transfer of nutrients between air, water, and soil, emissions to air can harm water quality. We conduct a multi-objective optimization analysis for a representative dairy farm with two different approaches: nonlinear programming (NLP) and ϵ-constraint optimization to evaluate trade-offs among reduction of multiple pollutants including nitrogen (N), phosphorus (P), gre

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Günther, Christian [Verfasser]. "On generalized-convex constrained multi-objective optimization and application in location theory / Christian Günther." Halle, 2018. http://d-nb.info/1175950602/34.

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Siegmund, Florian. "Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization." Doctoral thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13088.

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In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i.e., with fewer simulation runs. This is particularly important if the available time for optimization is limited, a

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Fengler, Benedikt [Verfasser]. "Manufacturing-constrained multi-objective optimization of local patch reinforcements for discontinuous fiber reinforced composite parts / Benedikt Fengler." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/1176022628/34.

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Fengler, Benedikt [Verfasser]. "Manufacturing-constrained multi-objective optimization of local patch reinforcements for discontinuous fiber reinforced composite parts / Benedikt Fengler." Karlsruhe : KIT Scientific Publishing, 2021. http://d-nb.info/1229623698/34.

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Zini, Érico de Oliveira Costa. "Algoritmo genético especializado na resolução de problemas com variáveis contínuas e altamente restritos /." Ilha Solteira : [s.n.], 2009. http://hdl.handle.net/11449/87116.

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Resumo: Este trabalho apresenta uma metodologia composta de duas fases para resolver problemas de otimização com restrições usando uma estratégia multiobjetivo. Na primeira fase, o esforço concentra-se em encontrar, pelo menos, uma solução factível, descartando completamente a função objetivo. Na segunda fase, aborda-se o problema como biobjetivo, onde se busca a otimização da função objetivo original e maximizar o cumprimento das restrições. Na fase um propõe-se uma estratégia baseada na diminuição progressiva da tolerância de aceitação das restrições complexas para encontrar soluções factíve

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9

Zini, Érico de Oliveira Costa [UNESP]. "Algoritmo genético especializado na resolução de problemas com variáveis contínuas e altamente restritos." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/87116.

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Made available in DSpace on 2014-06-11T19:22:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-02-20Bitstream added on 2014-06-13T19:28:05Z : No. of bitstreams: 1 zini_eoc_me_ilha.pdf: 1142984 bytes, checksum: 4ff93a7fe459a5a56e15da26b7a6dd45 (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Este trabalho apresenta uma metodologia composta de duas fases para resolver problemas de otimização com restrições usando uma estratégia multiobjetivo. Na primeira fase, o esforço concentra-se em encontrar, pelo menos, uma solução factível, descartando completamente

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10

Mrázková, Eva. "Approximations in Stochastic Optimization and Their Applications." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-233932.

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Mnoho inženýrských úloh vede na optimalizační modely s~omezeními ve tvaru obyčejných (ODR) nebo parciálních (PDR) diferenciálních rovnic, přičemž jsou v praxi často některé parametry neurčité. V práci jsou uvažovány tři inženýrské problémy týkající se optimalizace vibrací a optimálního návrhu rozměrů nosníku. Neurčitost je v nich zahrnuta ve formě náhodného zatížení nebo náhodného Youngova modulu. Je zde ukázáno, že dvoustupňové stochastické programování nabízí slibný přístup k řešení úloh daného typu. Odpovídající matematické modely, zahrnující ODR nebo PDR omezení, neurčité parametry a více

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11

Madiouni, Riadh. "Contribution à la synthèse et l’optimisation multi-objectif par essaims particulaires de lois de commande robuste RST de systèmes dynamiques." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1053/document.

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Ces travaux de recherche portent sur la synthèse systématique et l’optimisation de correcteurs numériques à structure polynomiale RST par approches métaheuristiques. Les problèmes classiques de placement de pôles et de calibrage des fonctions de sensibilité de la boucle fermée RST sont formulés sous forme de problèmes d’optimisation multi-objectif sous contraintes pour lequel des algorithmes métaheuristiques de type NSGA-II, MODE, MOPSO et epsilon-MOPSO sont proposés et adaptés. Deux formulations du problème de synthèse RST ont été proposées. La première approche, formulée dans le domaine temp

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Amouzgar, Kaveh. "Multi-objective optimization using Genetic Algorithms." Thesis, Högskolan i Jönköping, Tekniska Högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851.

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In this thesis, the basic principles and concepts of single and multi-objective Genetic Algorithms (GA) are reviewed. Two algorithms, one for single objective and the other for multi-objective problems, which are believed to be more efficient are described in details. The algorithms are coded with MATLAB and applied on several test functions. The results are compared with the existing solutions in literatures and shows promising results. Obtained pareto-fronts are exactly similar to the true pareto-fronts with a good spread of solution throughout the optimal region. Constraint handling techniq

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13

Salem, Adel I. "Weight and Cost Multi-Objective Optimization of Hybrid Composite Sandwich Structures." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1478637482819839.

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14

Padrón, Astorga Silvia. "A multi-objective optimization approach to the ground handling scheduling problem." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/284947.

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El tiempo de escala o turnaround es uno de los procesos aeroportuarios más críticos y se define como el período de tiempo en que la aeronave está en rampa, entre un vuelo de llegada y uno de salida. Durante el turnaround se realizan un conjunto de operaciones necesarias para preparar un avión para el próximo vuelo. Estas tareas son interdependientes y cada operación es una potencial fuente de demoras para el resto de las actividades, así como para otros procesos dentro del aeropuerto. Además, las decisiones de planificación que se toman para cada operación afectan la programación de otras tare

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15

Sciau, Jean-Baptiste. "Optimisation des opérations et groupes d'opérations dans le cadre de la planification dynamique." Electronic Thesis or Diss., Ecole nationale des Mines d'Albi-Carmaux, 2025. http://www.theses.fr/2025EMAC0003.

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La maintenance joue un rôle majeur dans le fonctionnement d'un exploitant d'aéronefs. Elle a pour but de garantir avant tout la sécurité des passagers et le bon entretien de l'appareil. La maintenance aéronautique se décline sous plusieurs formes : corrective (restaurant le système après une défaillance), préventive systématique (suivant un programme de maintenance pré-établi) et de plus en plus préventive conditionnelle (consistant à observer l'état de santé d'un système et à intervenir lors du déclenchement d'une condition). La maintenance représente entre 10% et 20% du budget d'un exploitan

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16

Freire, Rene Cruz. "Otimização natural multiobjetivo como ferramenta para desvio mínimo de pontos de operação considerando restrições de segurança." Niterói, 2017. https://app.uff.br/riuff/handle/1/3927.

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17

Helbig, Marde. "Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/28161.

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Most optimisation problems in everyday life are not static in nature, have multiple objectives and at least two of the objectives are in conflict with one another. However, most research focusses on either static multi-objective optimisation (MOO) or dynamic singleobjective optimisation (DSOO). Furthermore, most research on dynamic multi-objective optimisation (DMOO) focusses on evolutionary algorithms (EAs) and only a few particle swarm optimisation (PSO) algorithms exist. This thesis proposes a multi-swarm PSO algorithm, dynamic Vector Evaluated Particle Swarm Optimisation (DVEPSO), to solve

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18

Dell'Isola, Davide. "Optimization of DC/DC converters for embedded systems including dynamic constraints." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0124.

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Pour se conformer aux nouvelles normes d'émission et améliorer l’efficacité et l’autonomie des véhicules, le secteur des transports s'est tourné vers des solutions plus électriques. La compacité, le poids et l'efficacité sont alors des exigences primordiales dans les avions modernes ou dans les véhicules électriques/hybrides. Dès lors, la conception des éléments de conversion de puissance électrique demande un grand soin. Il est essentiel de proposer les solutions les plus compactes possibles et présentant les hauts rendements de conversion. Dans ce contexte, les matériaux semi-conducteurs à l

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19

Biret, Maëva. "Contribution à la résolution de problèmes inverses sous contraintes et application de méthodes de conception robuste pour le dimensionnement de pièces mécaniques de turboréacteurs en phase avant-projets." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066294/document.

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L'objectif de ce travail est de proposer une nouvelle démarche pour améliorer et accélérer les études de dimensionnement des pièces de turboréacteurs en avant-projets. Il s'agit de fournir une méthodologie complète pour la conception robuste sous contraintes. Cette méthodologie consiste en trois étapes : la réduction de la dimension et la méta-modélisation, la conception robuste sous contraintes puis la résolution de problèmes inverses sous contraintes. Ce sont les trois principaux sujets abordés dans cette thèse. La réduction de la dimension est un pré-traitement indispensable à toute étude.

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20

Marek, Martin. "Toolbox pro vícekriteriální optimalizační problémy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240999.

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This paper deals with multi-objective optimization problems (MOOP). It is explained, what solutions in multi-objetive search space are optimal and how are optimal (non-dominated) solutions found in the set of feasible solutions. Afterwards, principles of NSGA-II, MOPSO and GDE3 algorithms are described. In the following chapters, benchmark metrics and problems are introduced. In the last part of this paper, all the three algorithms are compared based on several benchmark metrics.

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(9813641), Dujuan Li. "Constrained multi-objective particle swarm optimization with application in power generation." Thesis, 2009. https://figshare.com/articles/thesis/Constrained_multi-objective_particle_swarm_optimization_with_application_in_power_generation/16910656.

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This thesis is devoted to the study of metaheuristic optimization algorithms and their application in power generation. The study focuses on constrained multi-objective optimization using Particle Swarm Optimization algorithm. A multi-objective constraint-handling method incorporating a dynamic neighbourhood PSO algorithm is proposed for tackling single objective constrained optimization problems. The benchmark simulation results demonstrate the proposed approach is effective and efficient in finding the consistent quality solutions. Compared with the recent research results, the proposed appr

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22

Lin, Yi-Jun, and 林怡君. "Constraint Handling and Kriging for Multi-objective simulation optimization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/49463747565809078376.

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碩士<br>國立高雄第一科技大學<br>運籌管理所<br>97<br>Evolutionary algorithms have been extensively used and quite effective to solve multi-objective optimization problems. However, integrating the multi-objective evolutionary algorithm with simulation optimization problems will expensive very much computation time for evaluating the objective functions and searching promising solutions. They not only require running many generations to approximate true Pareto-optimal front but also require long simulation time to reduce sampling errors. Our goal is to save computation time while maintaining the performance of t

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Szabados, Viktor. "Nové trendy ve stochastickém programování." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-367895.

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Stochastic methods are present in our daily lives, especially when we need to make a decision based on uncertain events. In this thesis, we present basic approaches used in stochastic tasks. In the first chapter, we define the stochastic problem and introduce basic methods and tasks which are present in the literature. In the second chapter, we present various problems which are non-linearly dependent on the probability measure. Moreover, we introduce deterministic and non-deterministic multicriteria tasks. In the third chapter, we give an insight on the concept of stochastic dominance and we

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