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Journal articles on the topic 'Augmecon'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Forouli, Aikaterini, Anastasios Pagonis, Alexandros Nikas, et al. "AUGMECON-Py: A Python framework for multi-objective linear optimisation under uncertainty." SoftwareX 20 (October 17, 2022): 101220. https://doi.org/10.1016/j.softx.2022.101220.

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This paper presents AUGMECON-Py, a Python framework for solving large and complex multi-objective linear programming problems under uncertainty, optimally and robustly capturing all solutions. On the core of the AUGMECON-Py software lies the integration of a well-established optimisation algorithm (AUGMECON) with Monte Carlo analysis that helps maximise robustness against stochastic uncertainty, thereby avoiding the complexity of numerous cascading methods and code scripts. Using an object-oriented language, AUGMECON-Py overcomes limitations of its predecessors regarding memory requirements, a

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Xidonas, Panagiotis, Christos E. Kountzakis, Christis Hassapis, and Christos Staikouras. "RAROC in portfolio optimization." International Journal of Financial Engineering 03, no. 03 (2016): 1650022. http://dx.doi.org/10.1142/s2424786316500225.

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In this paper, we provide the implications of using the performance ratio being defined by the expected shortfall-well known as RAROC-in static portfolio optimization, by giving the proof of the relevant results. We also use RAROC as a primary function in the AUGMECON algorithm, providing the main scheme of such an application on data from Athens Stock Exchange. The use of RAROC in AUGMECON as a primary function is also faced as an optimization problem under a general nonconvex optimization framework.

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Heidari-Fathian, Hassan, and Hamed Davari-Ardakani. "Bi-objective optimization of a project selection and adjustment problem under risk controls." Journal of Modelling in Management 15, no. 1 (2019): 89–111. http://dx.doi.org/10.1108/jm2-07-2018-0106.

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Purpose This study aims to deal with a project portfolio selection problem aiming to maximize the net present value of the project portfolio and minimize the resource usage variation between successive time periods. Design/methodology/approach A bi-objective mixed integer programming model is presented under resource constraints. The parameters related to outlays and net cash flows of existing and new projects are considered to be uncertain. An augmented ε-constraint (AUGMECON) method is used to solve the proposed model, and a fuzzy approach is used to find the most preferred Pareto-optimal so

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Hanczar, Paweł, and Zahra Azadehranjbar. "A Bi-Objective Sustainable Supply Chain Redesign: What Effect Does Energy Availability Have on Redesign?" Energies 15, no. 10 (2022): 3642. http://dx.doi.org/10.3390/en15103642.

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During supply chain redesign processes, many environmental initiatives at facilities and their surrounding regions are affected by the closing, opening, or even broadening of facilities. These initiatives may be about the surplus renewable energies that the facility generates for its region, the renewable energy sources that are available in the area for the facility, or the ecological relationships between facilities and their surrounding regions in general. The implications of these ecological relationships for the supply chain redesign problem were considered in this study in order to minim

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Kirytopoulos, Konstantinos, Vrassidas Leopoulos, George Mavrotas, and Dimitra Voulgaridou. "Multiple sourcing strategies and order allocation: an ANP‐AUGMECON meta‐model." Supply Chain Management: An International Journal 15, no. 4 (2010): 263–76. http://dx.doi.org/10.1108/13598541011054643.

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Forouli, Aikaterini, Anastasios Pagonis, Alexandros Nikas, et al. "AUGMECON-Py: A Python framework for multi-objective linear optimisation under uncertainty." SoftwareX 20 (December 2022): 101220. http://dx.doi.org/10.1016/j.softx.2022.101220.

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Bootaki, Behrang, Iraj Mahdavi, and Mohammad Mahdi Paydar. "A hybrid GA-AUGMECON method to solve a cubic cell formation problem considering different worker skills." Computers & Industrial Engineering 75 (September 2014): 31–40. http://dx.doi.org/10.1016/j.cie.2014.05.022.

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Ben Abid, Taycir, Omar Ayadi, and Faouzi Masmoudi. "An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study." Mathematical Problems in Engineering 2020 (April 13, 2020): 1–15. http://dx.doi.org/10.1155/2020/1520764.

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In this study, we propose to solve a biobjective tactical integrated production-distribution planning problem for a multisite, multiperiod, multiproduct, sea-air intermodal supply chain network under uncertainties. Two random parameters are considered simultaneously: product replenishment orders and production capacity, which are modelled via a finite set of scenarios, using a two-stage stochastic approach. A corresponding mathematical model is developed, coded, and solved using the LINGO 18.0 software optimisation tool. This model aims to simultaneously minimise the total costs of production

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Bozoklar, Emine, and Ebru Yılmaz. "Designing Sustainable Flexible Manufacturing Cells with Multi-Objective Optimization Models." Applied Sciences 14, no. 1 (2023): 203. http://dx.doi.org/10.3390/app14010203.

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Having sustainable and flexible features is crucial for manufacturing companies considering the increasing competition in the globalized world. This study considers three aspects of sustainability, namely economic, social, and environmental factors, in the design of flexible manufacturing cells. Three different multi-objective integer mathematical programming models were developed with the objective of minimizing the costs associated with carbon emissions, inter-cellular movements, machine processing, machine replacement, worker training, and additional salary (bonus). Simultaneously, these mo

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Hasanpour Jesri, Seyed Omid, and Mohsen Akbarpour Shirazi. "Bi Objective Peer-to-Peer Ridesharing Model for Balancing Passengers Time and Costs." Sustainability 14, no. 12 (2022): 7443. http://dx.doi.org/10.3390/su14127443.

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Ride-sharing services are one of the top growing sustainable transportation trends led by mobility-as-a-service companies. Ridesharing is a system that provides the ability to share vehicles on similar routes for passengers with similar or nearby destinations on short notice, leading to decreased costs for travelers. At the same time, though, it takes longer to get from place to place, increasing travel time. Therefore, a fundamental challenge for mobility service providers should be finding a balance between cost and travel time. This paper develops an integer bi-objective optimization model

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Zhu, Lan, and Dawei Hu. "Sustainable Logistics Network Modeling for Enterprise Supply Chain." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9897850.

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With the expansion of the study about green logistics, sustainable supply chain management (SSCM) has appeared as a new concept in current economic circumstance. This paper studies the sustainability optimization of enterprise logistics network from a strategic perspective and proposes a multiobjective sustainable logistics optimization model considering three dimensions of sustainability: economy, environment, and society. In this model, the environment factor was measured with a Life Cycle Assessment (LCA) method based on Chinese Life Cycle Database (CLCD), while for social factors, Sustaina

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Zhang, Yongle, Peng Fu, Jie Li, et al. "Production of Autotetraploids in Augmelon (Akebia trifoliata) via Colchicine Induction." HortScience 59, no. 10 (2024): 1563–68. http://dx.doi.org/10.21273/hortsci18082-24.

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Akebia trifoliata, as a new fruit, is becoming competitive and popular in the markets of eastern Asian countries, especially China, because of its nutritional value and health-promoting functions. To ultimately develop seedless varieties, germinating seeds of the A. trifoliata monoembryonic line ‘710’ with ∼1.5-cm-long roots were treated with five different concentrations of colchicine (0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) for four soaking periods (12, 24, 36, and 48 hours). Ploidy level assessments via both flow cytometry and karyotype analysis revealed some autotetraploids and chimeras in survi

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Nucamendi-Guillén, Samuel, Diego Flores-Díaz, Elias Olivares-Benitez, and Abraham Mendoza. "A Memetic Algorithm for the Cumulative Capacitated Vehicle Routing Problem Including Priority Indexes." Applied Sciences 10, no. 11 (2020): 3943. http://dx.doi.org/10.3390/app10113943.

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This paper studies the Cumulative Capacitated Vehicle Routing Problem, including Priority Indexes, a variant of the classical Capacitated Vehicle Routing Problem, which serves the customers according to a certain level of preference. This problem can be effectively implemented in commercial and public environments where customer service is essential, for instance, in the delivery of humanitarian aid or in waste collection systems. For this problem, we aim to minimize two objectives simultaneously, the total latency and the total tardiness of the system. A Mixed Integer formulation is developed

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Tartibu, L. K., B. Sun, and M. A. E. Kaunda. "Optimal design study of thermoacoustic regenerator with lexicographic optimization method." Journal of Engineering, Design and Technology 13, no. 3 (2015): 499–519. http://dx.doi.org/10.1108/jedt-09-2012-0039.

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Purpose – This paper aims to illustrate the use of the augmented epsilon-constraint method implemented in general algebraic modelling system (GAMS), aimed at optimizing the geometry of a thermoacoustic regenerator. Thermoacoustic heat engines provide a practical solution to the problem of heat management where heat can be pumped or spot cooling can be produced. However, the most inhibiting characteristic of thermoacoustic cooling is their current lack of efficiencies. Design/methodology/approach – Lexicographic optimization is presented as an alternative optimization technique to the common us

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Mavrotas, George, та Kostas Florios. "An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems". Applied Mathematics and Computation 219, № 18 (2013): 9652–69. http://dx.doi.org/10.1016/j.amc.2013.03.002.

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Bonz, Justus. "Application of a multi-objective multi traveling salesperson problem with time windows." Public Transport 13, no. 1 (2021): 35–57. http://dx.doi.org/10.1007/s12469-020-00258-6.

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AbstractThe pilgrimage to Mecca, which is called Hajj, is the largest annual pedestrian crowd management problem in the world. During the Hajj, the pilgrims are accommodated in camps. For safety reasons, exact times and directions are given to the pilgrims who are moving between holy sites. Despite the importance of complying with those schedules, violations can often be conjectured. Directing a small workforce between the camps to monitor the pilgrims’ compliance with the schedule is an important matter, which will be dealt with in this paper. A type of multi-objective multiple traveling sale

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Caglayan, Nadide, and Sule Itir Satoglu. "Multi-Objective Two-Stage Stochastic Programming Model for a Proposed Casualty Transportation System in Large-Scale Disasters: A Case Study." Mathematics 9, no. 4 (2021): 316. http://dx.doi.org/10.3390/math9040316.

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Disaster management is a process that includes mitigation, preparedness, response and recovery stages. Operational strategies covering all stages must be developed in order to alleviate the negative effects of the disasters. In this study, we aimed at minimizing the number of casualties that could not be transported to the hospitals after the disaster, the number of additional ambulances required in the response stage, and the total transportation time. Besides, we assumed that a data-driven decision support tool is employed to track casualties and up-to-date hospital capacities, so as to dire

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18

Igbokwe, I. O., M. A. Salako, J. S. Rabo, and S. U. Hassan. "Foyer de bursite infectieuse liée à une colibacillose septicémique aiguë chez des poulettes adultes." Revue d’élevage et de médecine vétérinaire des pays tropicaux 49, no. 2 (1996): 110–13. http://dx.doi.org/10.19182/remvt.9527.

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Un foyer de bursite infectieuse (IBD) est apparu en même temps qu'une colibacillose septicémique aiguë chez des poulettes âgées de 15 semaines. La septicémie a été précédée par une IBD subclinique. Dans ce foyer, la mortalité a commencé par des cas de septicémie et Escherichia coli a été isolé du sang du cœur des oiseaux. Après traitement antibiotique, les mortalités se sont poursuivies en augmen-tant, puis, après un pic, ont décliné et enfin ont cessé. L'IBD a été confirmée par des lésions des bourses caractérisées par une lymphocytose importante et une dégénération cystique des follicules ly

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19

Esfandabadi, Abolfazl Moghimi, Davood Shishebori, Mohammad-Bagher Fakhrzad, and Hassan Khademi Zare. "A Two-Objective Model for the Multilevel Supply Chain of Blood Products with the Approach of Reducing the Rate of Contagion under the (COVID-19) Epidemic Outbreak Conditions." Journal of Mathematics 2024 (March 19, 2024): 1–16. http://dx.doi.org/10.1155/2024/9986541.

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The conditions of the coronavirus epidemic have put much pressure on the healthcare system. This disease has hurt the blood supply through the reduction of blood donation and the reduction of access to suitable collection facilities due to dysfunction. Considering the importance of the subject, the purpose of this paper is to design a two-level supply chain network for blood products with the approach of reducing costs and the rate of contagion under the conditions of epidemic outbreaks (COVID-19). After examining the solution methods for multilevel supply chain networks of blood products unde

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20

Anderson, Paul D., and Paddy A. Dawan. "Paramedian Extraperitoneal Approach for Combined Nephrectomy and Augmen– tation Ureterocystoplasty in Children with Neuro– vesical Dysfunction / Reply." European Urology 40, no. 5 (2001): 575. http://dx.doi.org/10.1159/000049839.

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Beletić, Anđelo, Aleksandra Dudvarski-Ilić, Branislava Milenković, et al. "Alpha-1-Antitrypsin Deficiency – Molecular Basis, Clinical Presentation, Therapeutic Options and an Integrative Approach in Diagnostics / DEFICIJENCIJA ALFA-1-ANTITRIPSINA – MOLEKULSKE OSNOVE, KLINIČKE MANIFESTACIJE, TERAPIJSKE MOGUĆNOSTI I INTEGRATIVNI PRISTUP U DIJAGNOSTICI." Journal of Medical Biochemistry 33, no. 1 (2014): 88–96. http://dx.doi.org/10.2478/jomb-2013-0038.

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Summary The primary role of alpha-1-antitrypsin (AAT), encoded by the highly polymorphic SERPINA1 gene, is to protect the lung parenchyma from proteolysis by neutrophil elastase. AAT deficiency (AATD) is an autosomal recessive disease, considered as the most important genetic cause of liver disease in children and emphysema in adults. According to frequency, deficient alleles can be classified as »common« (Z and S) and »rare« (Mmalton, Mheerlen, Mprocida etc). Type, intensity and onset of clinical disease associated with AATD occur as a result of interaction between AATD and additional genetic

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شکرى, تریزا إمیل. "استخدام المدخل البصرى المکانى فى تدریس مقرر الوسائل التعلیمیة المُعد فى ضوء تقنیة الواقع المعزز وأثره فى تنمیة مهارات الثقافة البصریة والتحصیل المعرفى لطالبات الاقتصاد المنزلى الصم وضعاف السمع بکلیة التربیة النوعیة . Using Visual Spatial Appraoch In teaching Instructional media which prepared in the light of augmen". دراسات عربیة فی التربیة وعلم النفس 103, № 103 (2018): 21–94. http://dx.doi.org/10.21608/saep.2018.32891.

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23

Nikas, Alexandros, Angelos Fountoulakis, Aikaterini Forouli та Haris Doukas. "A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems". Operational Research, 24 травня 2020. https://doi.org/10.1007/s12351-020-00574-6.

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Systems can be unstructured, uncertain and complex, and their optimisation often requires operational research techniques. In this study, we introduce AUGMECON-R, a robust variant of the augmented ε-constraint algorithm, for solving multi-objective linear programming problems, by drawing from the weaknesses of AUGMECON 2, one of the most widely used improvements of the ε-constraint method. These weaknesses can be summarised in the ineffective handling of the true nadir points of the objective functions and, most notably, in the significant amount of time required to apply it as

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KIRYTOPOULOS, Prof Konstantinos, Prof Vrassidas Leopoulos, Prof George Mavrotas, and Dr Dimitra Voulgaridou. "Multiple Sourcing Strategies and Order Allocation: an ANP-AUGMECON meta-model." Supply Chain Management: An International Journal 15, no. 4 (2010). http://dx.doi.org/10.1108/13598541080001409.

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Forouli, Aikaterini, Anastasios Pagonis, Alexandros Nikas, et al. "AUGMECON-Py: A Python Framework for Multi-Objective Linear Optimisation Under Uncertainty." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4133131.

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Hernández-Leandro, Norberto A., Omar Ibarra-Rojas, and José-Fernando Camacho-Vallejo. "A bi-objective humanitarian logistics model considering equity in the affected zones: application to a recent earthquake in Mexico." RAIRO - Operations Research, May 10, 2022. http://dx.doi.org/10.1051/ro/2022067.

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In this paper, we propose a bi-objective program to model a post-disaster strategical decision problem. We consider the situation after a catastrophic disaster occurred, in which temporary distribution centers must be located. The distribution centers consolidate aid to be delivered to affected people. We assume that affected people go to collect needed aid from temporary located distribution centers. Hence, a predefined mobility radius is considered, that indicates the distance that people are willing to travel to receive aid. Additionally, needed aid required by affected individuals is conso

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Nikas, Alexandros, Angelos Fountoulakis, Aikaterini Forouli та Haris Doukas. "A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems". Operational Research, 24 травня 2020. http://dx.doi.org/10.1007/s12351-020-00574-6.

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Soghrati Ghasbeh, Sogand, Nadia Pourmohammadzia, and Masoud Rabbani. "Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach." Journal of Humanitarian Logistics and Supply Chain Management, June 24, 2022. http://dx.doi.org/10.1108/jhlscm-10-2021-0103.

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PurposeThis paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while maximizing equity and minimizing response time.Design/methodology/approachA hybrid algorithm of adaptive large neighborhood search (ALNS) and multi-dimensional local search (MDLS) is introduced to solve the problem. Its results are compared to ALNS and an a

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Rajagopal, Varthini, Dinesh Kumar Rajendran, and S. Muthukumaran. "Multi-objective optimization and characterization of AA2219-T87 and AA6061-T6 dissimilar friction stir welded joints under the effect of copper backing using AUGMECON." Sādhanā 49, no. 1 (2024). http://dx.doi.org/10.1007/s12046-023-02360-4.

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Rodríguez‐Escoto, Joel‐Novi, Elias Olivares‐Benitez, Samuel Nucamendi‐Guillén, and Julie Drzymalski. "A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities." International Transactions in Operational Research, August 4, 2024. http://dx.doi.org/10.1111/itor.13523.

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AbstractA sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the supply chain, with decisions that consider economic, environmental, and social factors. In real life, the problem needs to be addressed by prioritizing targets or interacting between them to give a range of solutions to the decision maker. In this context, this work proposes a novel multi‐objective sustainable closed‐loop supply chain network problem based on the revised network design model with hybrid recovery centers minimizing (1) the total economic cost, (2) the CO2 emiss

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Basirati, Mohadese, Romain Billot, Patrick Meyer, and Erwan Bocher. "Exact Zoning Optimization Model for Marine Spatial Planning (MSP)." Frontiers in Marine Science 8 (November 18, 2021). http://dx.doi.org/10.3389/fmars.2021.726187.

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Marine spatial planning (MSP) has recently attracted more attention as an efficient decision support tool. MSP is a strategic and long-term process gathering multiple competing users of the ocean with the objective to simplify decisions regarding the sustainable use of marine resources. One of the challenges in MSP is to determine an optimal zone to locate a new activity while taking into account the locations of the other existing activities. Most approaches to spatial zoning are formulated as non-linear optimization models involving multiple objectives, which are usually solved using stochas

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Shafiee, Mohammad, Yahia Zare Mehrjerdi, and Marzieh Keshavarz. "Integrating lean, resilient, and sustainable practices in supply chain network: mathematical modelling and the AUGMECON2 approach." International Journal of Systems Science: Operations & Logistics, May 4, 2021, 1–21. http://dx.doi.org/10.1080/23302674.2021.1921878.

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Yan, Xingyu, Ciwei Gao, Meng Song, and Mian Rizwan. "AUGMECON2-based multi-objective optimization of virtual power plant considering economical and security operation of the distribution networks." Sustainable Energy, Grids and Networks, April 2024, 101388. http://dx.doi.org/10.1016/j.segan.2024.101388.

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Dashrath, Raghav, Shravani Deshmukh, and Atharv Bhaleghare. "Fine-Tuning Transformers for Sentiment Analysis." International Journal For Multidisciplinary Research 7, no. 3 (2025). https://doi.org/10.36948/ijfmr.2025.v07i03.42227.

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This paper explores advanced techniques for fine-tuning pre-trained transformer models such as BERT and GPT for sentiment analysis tasks, with a particular focus on handling domain-specific language in customer feedback. We propose a novel adaptive transfer learning framework that combines contextual embedding augmen tation with progressive domain adaptation to improve sentiment classification accuracy across diverse domains. Our experimental results demonstrate that our proposed methods achieve state-of-the-art performance on benchmark datasets, with significant improvements in handling domai

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Abbas, Ansar, and Sadia Sarwar. "Antibiotic Susceptibility and Resistance of Clinical Isolates against Various Antibiotics." MARKHOR (The Journal of Zoology), December 31, 2022, 29–32. http://dx.doi.org/10.54393/mjz.v3i02.57.

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Antibiotics are a vital tool in the treatment of a wide range of bacterial diseases, but their overuse and abuse are leading to bacterial resistance. Culture and sensitivity are the best test to select appropriate antibiotics. Objective: To evaluate the antibiotic susceptibility of clinical isolates to various antibiotics. Methods: Collection of samples was done from patients at the Fatima Memorial Hospital's pathology department in Lahore, Pakistan. Total 1000 clinical isolates were isolated from 1400 samples collected. Conventional culture and biochemical tests were used for the identificati

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Özçelik, Gökhan, Fatma Betül Yeni, Beren Gürsoy Yılmaz, and Ömer Faruk Yılmaz. "A bi-objective robust optimization model to bolster a resilient medical supply chain in case of the ripple effect." Operational Research 25, no. 2 (2025). https://doi.org/10.1007/s12351-025-00928-y.

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Abstract The medical supply chain (MSC) plays a crucial role in ensuring that drugs, vaccines, gloves, and other medical products are delivered to the right place at the right times and in the required quantity. For this reason, the viability of MSC is vital in case of an external risk such as the coronavirus (COVID-19) pandemic. The COVID-19 pandemic is a type of ripple effect that has devastating effect on supply chain performance. With that in mind, to the best of our knowledge, this study explores a bi-objective MSC design problem under uncertainty caused by the ripple effect for the first

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Segovia-Chamorro, Jaime, Natalia Faúndez-Moreno, Matías Valenzuela-Lezana, and Hector Oñate. "Vertical bone augmentation with guided bone regeneration. A scoping review." Journal of Oral Research, April 30, 2022, 1–28. http://dx.doi.org/10.17126/joralres.2022.021.

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Introduction: There are multiple techniques for vertical bone augmen-tation. Guided bone regeneration is one of them; however, the literature is diverse and includes different study designs, which makes it difficult to synthesize results. Objective: To analyze the general technical characteristics, clinical results, and complications of vertical bone augmentation performed with guided bone regeneration in humans. Material and Methods: This scoping review was based on the PRISMA-ScR guidelines. A search was performed in the Pubmed, Scielo, and Worldcat databases. Papers published from 1990 to A

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