Relevant bibliographies by topics / Multi Objective Linear Model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multi Objective Linear Model'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Multi Objective Linear Model"

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Schmitt, Thomas, Tobias Rodemann, and Jürgen Adamy. "Multi-objective model predictive control for microgrids." at - Automatisierungstechnik 68, no. 8 (2020): 687–702. http://dx.doi.org/10.1515/auto-2020-0031.

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AbstractEconomic model predictive control is applied to a simplified linear microgrid model. Monetary costs and thermal comfort are simultaneously optimized by using Pareto optimal solutions in every time step. The effects of different metrics and normalization schemes for selecting knee points from the Pareto front are investigated. For German industry pricing with nonlinear peak costs, a linear programming trick is applied to reformulate the optimization problem. Thus, together with an efficient weight determination scheme, the Pareto front for a horizon of 48 steps is determined in less tha
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Dara A. Hassan, Nezam M. Amiri, and Ayad M. Ramadan. "Solving Three Objectives Single-Machine Scheduling Problem Using Fuzzy Multi-Objective Linear Programming." Tikrit Journal of Pure Science 27, no. 6 (2023): 82–87. http://dx.doi.org/10.25130/tjps.v27i6.763.

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In this paper, three criteria scheduling problem of n jobs on a single machine is considered. Each of these n jobs is to be processed without interruption and becomes available for processing at time zero. The problem is to minimize three objectives simultaneously, which are the completion time, maximum tardiness, and maximum earliness. Here, we develop a fuzzy multi-objective linear programming (FMOLP) model for solving multi-objective scheduling problem in a fuzzy environment by using piecewise linear membership function (PLMF). A numerical example demonstrates the feasibility of applying th
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Jolai, Fariborz, Mahsa Soufi Neyestani, and Hamidreza Golmakani. "Multi-objective model for multi-period, multi-products, supplier order allocation under linear discount." International Journal of Management Science and Engineering Management 8, no. 1 (2013): 24–31. http://dx.doi.org/10.1080/17509653.2013.783193.

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Emam, Usama. "A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters on Objective Functions." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 5 (2016): 6738–48. http://dx.doi.org/10.24297/ijct.v15i5.1626.

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This paper proposes an algorithm to solve multi-level multi-objective quadratic programming problem with fuzzy parameters in the objective functions, This algorithm uses the tolerance membership function concepts and multi-objective optimization at each level to develop a fuzzy Max-Min decision model for generating satisfactory solution after applying linear ranking method on trapezoidal fuzzy numbers in the objective functions, An illustrative example is included to explain the results.
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Wang, Shi, Zhi Weng, and Bo Jin. "Multi-objective Optimization of Linear Proportional Solenoid Actuator." Applied Computational Electromagnetics Society 35, no. 11 (2021): 1338–39. http://dx.doi.org/10.47037/2020.aces.j.351138.

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This paper employed a multi-objective Genetic Algorithm (GA) process to optimize the structure parameters of Linear Proportional Solenoid (LPS). And designed objectives include magnitude of static push force, stability of push force with displacement in working range and push force to mass ratio. A two-dimensional finite element analysis model is presented to reduce the large calculation time generated by GA process. The optimization process result of LPS shape parameters is obtained and the optimal LPS is manufactured. Through using a high-precision measuring device in the static push force t
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Lee, Amy H. I., He-Yau Kang, and Chong-Lin Chen. "Multi-Objective Assembly Line Balancing Problem with Setup Times Using Fuzzy Goal Programming and Genetic Algorithm." Symmetry 13, no. 2 (2021): 333. http://dx.doi.org/10.3390/sym13020333.

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Assembly lines are often indispensable in factories, and in order to attain a certain level of assembly line productivity, multiple goals must be considered at the same time. However, these multiple goals may conflict with each other, and this is a multi-objective assembly line balancing problem. This study considers four objectives, namely minimizing the cycle time, minimizing the number of workstations, minimizing the workload variance, and minimizing the workstation idle time. Since the objectives conflict with each other, for example, minimizing the cycle time may increase the number of wo
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Azis, Chusnul Chatimah, Diah Chaerani, and Endang Rusyaman. "ANALYSIS OF MULTI-OBJECTIVE LINEAR ROBUST OPTIMIZATION MODEL WITH LEXICOGRAPHICAL METHOD." MEDIA STATISTIKA 17, no. 1 (2024): 57–68. https://doi.org/10.14710/medstat.17.1.57-68.

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Problems in robust multi-objective linear optimization are a class of optimization problems with uncertain data parameters which aim in the decision-making process to obtain the best results in certain circumstances by choosing various solution methods for the multi-objective. This research aims to formulate a multi-objective Robust Optimization (RO) model using the Lexicographic Method, then analyzing the existence and uniqueness of the solution. Furthermore, gap analysis on the topic was carried out using a Systematic Literature Review (SLR) approach with the Preferred Reporting Items for Sy
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Qi, Jun, Li Zheng Wang, and Shao Juan Su. "Study on Multi-Objective Greenness Planning Model for Liners." Applied Mechanics and Materials 505-506 (January 2014): 666–70. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.666.

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According to the characteristics of high-speed liners, the multi-objective scheduling optimization mathematical model of high speed liners is established from the greenness angle. And the quantitative indicators and qualitative indicators were organic combined. The integer linear programming method was adopted to optimize analysis. Finally verify the feasibility of this optimal dispatch model through an example. Thus a scientific, reasonable way is provided for the high-speed liners scheduling arrangement.
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Almotairi, Sultan, Elsayed Badr, M. Elsisy, F. Farahat, and M. El Sayed. "Performance Analysis of Fully Intuitionistic Fuzzy Multi-Objective Multi-Item Solid Fractional Transportation Model." Fractal and Fractional 8, no. 7 (2024): 404. http://dx.doi.org/10.3390/fractalfract8070404.

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An investigation is conducted in this paper into a performance analysis of fully intuitionistic fuzzy multi-objective multi-item solid fractional transport model (FIF-MMSFTM). It is to be anticipated that the parameters of the conveyance model will be imprecise by virtue of numerous uncontrollable factors. The model under consideration incorporates intuitionistic fuzzy (IF) quantities of shipments, costs and profit coefficients, supplies, demands, and transport. The FIF-MMSFTM that has been devised is transformed into a linear form through a series of operations. The accuracy function and orde
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Emam, O., E. Fathy, and M. Helmy. "An Interactive Model for Fully Fuzzy Multi-level Linear Programming Problem based on Multi-objective Linear Programming Technique." Journal of Advances in Mathematics and Computer Science 23, no. 4 (2017): 1–19. http://dx.doi.org/10.9734/jamcs/2017/34811.

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

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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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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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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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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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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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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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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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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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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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Books on the topic "Multi Objective Linear Model"

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Center, Lewis Research, and United States. National Aeronautics and Space Administration., eds. Multi objective controller design for linear systems via optimal interpolation. Ohio State University, 1996.

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Center, Lewis Research, and United States. National Aeronautics and Space Administration., eds. Multi objective controller design for linear systems via optimal interpolation. Ohio State University, 1996.

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Rientjes, Thomas Henricus Maria. Inverse modelling of the rainfall-runoff relation: A multi objective model calibration approach. Delft University Press, 2004.

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C, Georgiadis Michael, Pistikopoulos Efstratios N, and Dua Vivek, eds. Multi-parametric model-based control: Theory and applications. Wiley-VCH, 2007.

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Painho, Marco. Alternative plan formulation: the application of a multi-objective programming model in landscape/land use planning. Massachusetts Agricultural Experiment Station, 1987.

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Martins, Ricardo M. F., Nuno C. C. Lourenço, Frederico A. E. Rocha, and Nuno C. G. Horta. Electronic Design Automation of Analog ICs Combining Gradient Models with Multi-Objective Evolutionary Algorithms. Springer London, Limited, 2013.

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Horta, Nuno C. G., Frederico A. E. Rocha, Ricardo M. F. Martins, and Nuno C. C. Lourenço. Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms. Springer, 2013.

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Multi-parametric model-based control. Wiley-VCH, 2006.

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A computational model for multi-objective optimization of zero emission power plants. [publisher not identified], 2011.

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National Aeronautics and Space Administration (NASA) Staff. Evaluation of Genetic Algorithm Concepts Using Model Problems. Part 2; Multi-Objective Optimization. Independently Published, 2018.

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Book chapters on the topic "Multi Objective Linear Model"

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Gomes, Maria Isabel, and Nelson Chibeles Martins. "Multi-Objective Linear Programming." In Mathematical Models for Decision Making with Multiple Perspectives. CRC Press, 2022. http://dx.doi.org/10.1201/9781003015154-7.

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Fieldsend, Jonathan E. "Regression Error Characteristic Optimisation of Non-Linear Models." In Multi-Objective Machine Learning. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33019-4_5.

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Katagiri, Hideki, Masatoshi Sakawa, and Shuuji Ohsaki. "An Interactive Satisficing Method through the Variance Minimization Model for Fuzzy Random Multiobjective Linear Programming Problems." In Multi-Objective Programming and Goal Programming. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36510-5_23.

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Quatmann, Tim, and Joost-Pieter Katoen. "Multi-objective Optimization of Long-run Average and Total Rewards." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72016-2_13.

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AbstractThis paper presents an efficient procedure for multi-objective model checking of long-run average reward (aka: mean pay-off) and total reward objectives as well as their combination. We consider this for Markov automata, a compositional model that captures both traditional Markov decision processes (MDPs) as well as a continuous-time variant thereof. The crux of our procedure is a generalization of Forejt et al.’s approach for total rewards on MDPs to arbitrary combinations of long-run and total reward objectives on Markov automata. Experiments with a prototypical implementation on top
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Tamiz, M., S. J. Mardle, and D. F. Jones. "An Exploration of Linear and Goal Programming Models in the Downstream Oil Industry." In Multi-Objective Programming and Goal Programming. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-87561-8_23.

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Whigham, Peter A., and Caitlin Owen. "Multi-objective Optimisation, Software Effort Estimation and Linear Models." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13563-2_23.

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Torğul, Belkız, and Turan Paksoy. "A New Multi Objective Linear Programming Model for Lean and Green Supplier Selection with Fuzzy TOPSIS." In International Series in Operations Research & Management Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97511-5_4.

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Torres Torres, Christian, María Belén Toledo, Juan Carlos Llivisaca, Mario Peña, Lorena Siguenza-Guzman, and Jaime Veintimilla-Reyes. "Internal Logistics Optimization Based on a Multi-objective Linear Model for Micro, Small, and Medium Textile Enterprises." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03884-6_16.

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Gómez-Lagos, Javier E., Marcela C. González-Araya, and Luis G. Acosta Espejo. "Comparison of Multi-objective Linear Programming Solutions Using Performance Metrics Based on Data Envelopment Analysis Models." In Operations Research and Enterprise Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49662-2_7.

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Çalık, Ahmet, Turan Paksoy, and Sandra Huber. "Lean and Green Supplier Selection Problem: A Novel Multi Objective Linear Programming Model for an Electronics Board Manufacturing Company in Turkey." In Multiple Criteria Decision Making and Aiding. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99304-1_10.

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Conference papers on the topic "Multi Objective Linear Model"

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Cabrera, Nicolas, A. M. Rosso-Cer�n, and Viatcheslav Kafarov. "Multi-Objective Optimization and Analytical Hierarchical Process for Sustainable Power Generation Alternatives in the High Mountain Region of Santurb�n: case of Pamplona, Colombia." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.129062.

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This study presents an integrated approach combining the Analytic Hierarchy Process (AHP) with a Mixed-Integer Multi-Objective Linear Programming (MOMILP) model to evaluate sustainable power generation alternatives for Pamplona, Colombia. The MOMILP model includes solar, wind, biomass, and diesel technologies, aiming to minimize costs (net present value) and CO2 emissions while considering design, operational, and budget constraints. The AHP method evaluates multiple criteria such as social acceptance, job creation, technological maturity, and environmental impact. The results show that solar
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Babadi, Hourissa Soleymani, and Lazaros G. Papageorgiou. "Optimisation of Carbon Capture Utilisation and Storage Supply Chains Under Carbon Trading and Taxation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.194067.

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In recent years, several strategies have been developed to reduce the carbon dioxide (CO2) released into the atmosphere. Carbon Capture, Storage and Utilisation (CCUS) is one of the proposed solutions. However, CCUS systems are expensive to install and operate. Furthermore, most studies in the literature have focused on CO2 utilisation and storage separately, without accounting for the effects of other CO2 emission management strategies. To address this gap, a Mixed Integer Linear Programming (MILP) framework for a supply chain network is developed in this work, incorporating CO2 storage, util
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Hyland, David, Munyque Mittelmann, Aniello Murano, Giuseppe Perelli, and Michael Wooldridge. "Incentive Design for Rational Agents." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/44.

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We introduce Incentive Design: a new class of problems for equilibrium verification in multi-agent systems. In our model, agents attempt to maximize their utility functions, which are expressed as formulae in LTL[F], a quantitative extension of Linear Temporal Logic with functions computable in polynomial time. We assume agents are rational, in the sense that they adopt strategies consistent with game theoretic solution concepts such as Nash equilibrium. For each solution concept we consider, we analyze the problems of verifying whether an incentive scheme achieves a societal objective and fin
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Lu, Shiyin, Guanghui Wang, Yao Hu, and Lijun Zhang. "Multi-Objective Generalized Linear Bandits." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/427.

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In this paper, we study the multi-objective bandits (MOB) problem, where a learner repeatedly selects one arm to play and then receives a reward vector consisting of multiple objectives. MOB has found many real-world applications as varied as online recommendation and network routing. On the other hand, these applications typically contain contextual information that can guide the learning process which, however, is ignored by most of existing work. To utilize this information, we associate each arm with a context vector and assume the reward follows the generalized linear model (GLM). We adop
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Luangpantao, Kittipong, and Navee Chiadamrong. "MULTI-SOURCING MULTI-PRODUCT SUPPLIER SELECTION: AN INTEGRATED FUZZY MULTI-OBJECTIVE LINEAR MODEL." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2013. http://dx.doi.org/10.32738/ceppm.201310.0051.

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Hosseini, M. Reza, Nicholas Chileshe, Raufdeen Rameezdeen, and Steffen Lehmann. "MULTI-SOURCING MULTI-PRODUCT SUPPLIER SELECTION: AN INTEGRATED FUZZY MULTI-OBJECTIVE LINEAR MODEL." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2013. http://dx.doi.org/10.32738/ceppm.201310.0052.

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"SOLVING THE MULTI-OBJECTIVE MIXED MODEL ASSEMBLY LINE PROBLEM USING A FUZZY MULTI-OBJECTIVE LINEAR PROGRAM." In 9th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002353003700373.

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Hassan, Ghada. "Non-linear factor model for asset selection using multi objective genetic programming." In the 2008 GECCO conference companion. ACM Press, 2008. http://dx.doi.org/10.1145/1388969.1388990.

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Zhang, Guangquan, Jie Lu, and Tharam Dillon. "Models and Algorithm for Fuzzy Multi-objective Multi-follower Linear Bilevel Programming." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295448.

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Huang, Yuhao, Yifan Shi, Zane Morris, Mira Teoli, Daniel Tameer, and Il Yong Kim. "Multi-Material and Multi-Objective Topology Optimization Considering Crashworthiness." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2262.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Recently, topology optimization (TO) has seen increased usage in the automotive industry as a numerical tool, greatly enhancing the accessibility and production-readiness of optimal, lightweight solutions. By natural extension of classic single material TO (SMTO), a wealth of research has been completed in multi-material TO (MMTO), enabling simultaneous determination of material selection and existence. MMTO is effective for linear static analyses, making use of structural responses that are continuously differentiable,
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Reports on the topic "Multi Objective Linear Model"

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Hermelink, Marleen I., and Huib Hengsdijk. Modelling food system trade-offs in rural East Africa:a case study of Arua, Uganda : technical report of the development of a linear programming multi-objective optimization model for the case study of Arua, Uganda. Wageningen Plant Research, 2024. https://doi.org/10.18174/683518.

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Chen, Z., S. E. Grasby, C. Deblonde, and X. Liu. AI-enabled remote sensing data interpretation for geothermal resource evaluation as applied to the Mount Meager geothermal prospective area. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330008.

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The objective of this study is to search for features and indicators from the identified geothermal resource sweet spot in the south Mount Meager area that are applicable to other volcanic complexes in the Garibaldi Volcanic Belt. A Landsat 8 multi-spectral band dataset, for a total of 57 images ranging from visible through infrared to thermal infrared frequency channels and covering different years and seasons, were selected. Specific features that are indicative of high geothermal heat flux, fractured permeable zones, and groundwater circulation, the three key elements in exploring for geoth
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Saltus, Christina, Richard Johansen, Molly Reif, Weston Nowlin, Benjamin Schwartz, and Joshuah Perkins. Next Generation Ecological Models - Central Texas Watersheds: Geospatial Layers and Related Tables. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47608.

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Relevant geospatial data layers are required for developing next generation ecological response models for specific reaches of 5 rivers in Central Texas: Colorado, Concho, San Saba, Llano, and Pedernales Rivers. Therefore, a collaborative effort between Engineer Research and Development Center (ERDC), Texas State University, and Texas A&amp;M University was undertaken to acquire and curate a collection of biological and physical datasets to be utilized as inputs for next generation ecological response models at various spatial scales (watershed, river buffer, and point). The objective was to a
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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Dinovitzer. L52303 Development of Techniques to Assess the Long-Term Integrity of Wrinkled Pipeline. Pipeline Research Council International, Inc. (PRCI), 2009. http://dx.doi.org/10.55274/r0010332.

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The objective of the project was to develop a numerical model than may be used to predict the wrinkle formation and post formation behavior of a pipeline considering the effect of soil confinement and define the specifications for the development of a comprehensive wrinkle integrity assessment process. The result of this research is the development of wrinkle assessment techniques that could be used directly or could be used to codify maintenance guidelines. This project focused specifically on the pipe soil interaction modeling wrinkle formation as a result of the relative movement of the pip
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Yang, X. MineSeis -- A MATLAB{reg_sign} GUI program to calculate synthetic seismograms from a linear, multi-shot blast source model. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/677033.

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Wang, Chih-Hao. A Multi-Objective Optimization Model to Minimize the Gap in Accessibility to Multi-Use Paths While Maximizing the Economic Efficiency of Active Transportation Investments for Fresno, California. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1913.

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Gur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor, and Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, 2016. http://dx.doi.org/10.32747/2016.7600047.bard.

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Project objectives: 1) Characterization of variation for yield heterosis in melon using Half-Diallele (HDA) design. 2) Development and implementation of image-based yield phenotyping in melon. 3) Characterization of genetic, epigenetic and transcriptional variation across 25 founder lines and selected hybrids. The epigentic part of this objective was modified during the course of the project: instead of characterization of chromatin structure in a single melon line through genome-wide mapping of nucleosomes using MNase-seq approach, we took advantage of rapid advancements in single-molecule se
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Andrabi, Tahir, and Christina Brown. Subjective versus Objective Incentives and Teacher Productivity. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/092.

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A central challenge facing firms is how to incentivize employees. While objective, output-based incentives may be theoretically ideal, in practice they may lead employees to reduce effort on non-incentivized outcomes and may fail in settings where effort is weakly tied to output. We study the effect of subjective incentives (manager performance evaluation) and objective incentives (test score-based) relative to no incentives for teachers using an RCT in 230 Pakistani schools. First, we show that subjective and objective incentives both increase test scores and have similar magnitude effects. H
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