Výsledky vyhledávání - Augmented epsilon constraint algorithm*

Multi-Objective Stochastic Synchronous Timetable Optimization Model Based on a Chance-Constrained Programming Method Combined with Augmented Epsilon Constraint Algorithm

Autoři: Yu Yuan Pengcheng Wang Minghui Wang

Zdroj: Mathematical Problems in Engineering. 2022:1-18

Témata: 11. Sustainability, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

Popis souboru: text/xhtml

Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk

Autoři: Seyedamirhossein Salehi-Amiri Xiuqin Li Richard Allmendinger a další

Zdroj: Salehi-Amiri, A, Li, X, Allmendinger, R, Uyarra, E & Mercer, J 2025, Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk. in Genetic and Evolutionary Computation Conference (GECCO'25), July 14-18, 2025, Malaga, Spain.

Témata: Cybersecurity, Augmented Epsilon-constraint, Bi-objective modelling, Optimisation, MOEA/D

Přístupová URL adresa: https://research.manchester.ac.uk/en/publications/95e30f07-78d4-4755-b050-280189a31fbe

Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms.

Autoři: Goodarzian, Fariba Kumar, Vikas Ghasemi, Peiman

Zdroj: Annals of Operations Research; Nov2025, Vol. 354 Issue 2, p547-603, 57p

Témata: CARBON emissions, METAHEURISTIC algorithms, MULTI-objective optimization, SUPPLY chains, CITRUS fruits, ENVIRONMENTAL impact analysis

Sustainable cast iron supply chain network design: Robust multi-objective optimization with scenario reduction via genetic algorithm.

Autoři: Fathollahzadeh, Kasra Saeedi, Mehran Ghasempour Anaraki, Matin a další

Zdroj: International Journal of Production Economics. Nov2025, Vol. 289, pN.PAG-N.PAG. 1p.

Témata: *CIRCULAR economy, *JOB creation, *ENVIRONMENTAL impact analysis, *SUPPLY chain management, CAST-iron, GENETIC algorithms, STOCHASTIC programming, MULTI-objective optimization

Designing Sustainable Flexible Manufacturing Cells with Multi-Objective Optimization Models

Autoři: Bozoklar, Emine Yılmaz, Ebru Mühendislik ve Doğa Bilimleri Fakültesi -- Endüstri Mühendisliği Bölümü

Přispěvatelé: Bozoklar, Emine Yılmaz, Ebru Mühendislik ve Doğa Bilimleri Fakültesi -- Endüstri Mühendisliği Bölümü

Témata: Augmented epsilon constraint method, Epsilon constraint method, Flexible manufacturing cells, Goal programming, Multi-objective optimization, Sustainable manufacturing, Genetic Algorithm, Cellular Manufacturing, Integer Programming, Intercell layout problems, Mathematical-model, Operator assignment, Performance evaluation, System, Algorithm, Skill

Popis souboru: application/pdf

Relation: Applied Sciences (Switzerland); Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Web of Science - Scopus; Web of Science Core Collection - Science Citation Index Expanded; https://doi.org/10.3390/app14010203; https://hdl.handle.net/20.500.12508/3091; 14

Dostupnost: https://hdl.handle.net/20.500.12508/3091
https://doi.org/10.3390/app14010203

Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms.

Autoři: Goodarzian, Fariba Kumar, Vikas Ghasemi, Peiman

Zdroj: Annals of Operations Research. Nov2025, Vol. 354 Issue 2, p547-603. 57p.

Témata: *CARBON emissions, *METAHEURISTIC algorithms, *MULTI-objective optimization, *SUPPLY chains, *CITRUS fruits, *ENVIRONMENTAL impact analysis

An Integrated Approach Based on MADM and MODM for Order Picking System Considering Human Factors.

Autoři: Nikkhoo, Fatemeh Kashan, Ali Husseinzadeh Ostadi, Bakhtiar a další

Zdroj: International Journal of Information Technology & Decision Making. Sep2024, Vol. 23 Issue 5, p2017-2064. 48p.

Témata: *OPERATING costs, *PROBLEM solving, *PRODUCTION scheduling, *MATHEMATICAL models, *ORDER picking systems, GENETIC algorithms

Strategical and tactical supply chain optimisation for smart production planning and control 4.0.

Autoři: Cañas, Hector Mula, Josefa Campuzano-Bolarin, Francisco

Zdroj: International Journal of Production Research; Apr2025, Vol. 63 Issue 8, p2926-2946, 21p

Témata: PRODUCTION planning, SUPPLY chains, INDUSTRY 4.0, JOB creation, STOCHASTIC models

Cluster-based distributed augmented Lagrangian algorithm for a class of constrained convex optimization problems

Autoři: Moradian, Hossein Kia, Solmaz S

Témata: Applied Mathematics, Numerical and Computational Mathematics, Mathematical Sciences, Reduced Inequalities, Distributed constrained convex optimization, Augmented Lagrangian, Primal-dual solutions, Optimal resource allocation, Penalty function methods, cs.MA, math.OC, Information and Computing Sciences, Engineering, Industrial Engineering & Automation, Information and computing sciences, Mathematical sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/16f757jg
https://escholarship.org/content/qt16f757jg/qt16f757jg.pdf

Toward a safe supply chain: Incorporating accident, physical, psychosocial and mental overload risks into supply chain network.

Autoři: Karimi, Sajad Ardalan, Zaniar Poursabzi, Omid a další

Zdroj: Environment, Development & Sustainability. Jun2023, Vol. 25 Issue 6, p5579-5595. 17p.

Témata: *SUPPLY chains, MIXED integer linear programming, CONSTRAINT algorithms, GREENHOUSE gases, SAFETY factor in engineering

A Weighted and Epsilon-Constraint Biased-Randomized Algorithm for the Biobjective TOP with Prioritized Nodes.

Autoři: Agud-Albesa, Lucia Garrido, Neus Juan, Angel A. a další

Zdroj: Computation; Apr2024, Vol. 12 Issue 4, p84, 20p

Témata: ORIENTEERING, ALGORITHMS, CONSUMERS, ORIENTEERS, DECISION making

Clusters of floor locations-allocation of stores to cross-docking warehouse considering satisfaction and space using MOGWO and NSGA-II algorithms.

Autoři: Shoaee, Maryam Samouei, Parvaneh

Zdroj: Flexible Services & Manufacturing Journal. Mar2024, Vol. 36 Issue 1, p315-342. 28p.

Témata: *WAREHOUSES, *CUSTOMER clubs, *CROSS-docking (Logistics), *STORE location, SATISFACTION, GREY Wolf Optimizer algorithm

Intelligent parking lot power management: Augmented epsilon‐constraint concept with correlation analysis.

Autoři: Nosratabadi, Seyyed Mostafa Peivand, Ali Saadat, Amin

Zdroj: IET Renewable Power Generation (Wiley-Blackwell); 11/16/2024, Vol. 18 Issue 15, p3378-3404, 27p

Témata: RENEWABLE energy source management, PHOTOVOLTAIC power systems, SMART parking systems, RENEWABLE energy sources, WIND power plants

A robust multi-objective joint scheduling of integrated electricity and gas grids considering high penetration of wind and solar units and flexible loads towards achieving a sustainable operation.

Autoři: Tabar, Vahid Sohrabi Jirdehi, Mehdi Ahmadi Jordehi, Ahmad Rezaee

Zdroj: International Journal of Hydrogen Energy. Feb2023, Vol. 48 Issue 12, p4613-4630. 18p.

Témata: *GRIDS (Cartography), *CONSTRAINT algorithms, *ELECTRICAL load, *ELECTRIC power distribution grids, *ELECTRICITY, *GAS prices, *SOLAR wind

A Bi-objective mathematical model for resource constrained project scheduling problem: formulation and metaheuristics.

Autoři: Mohammadzadeh, Ali Kamali Ghafoori, Saeed Mahjoob, Meysam a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Nov2025, Vol. 29 Issue 21/22, p5683-5706. 24p.

Témata: *MULTI-objective optimization, *METAHEURISTIC algorithms, *RESOURCE allocation, *COST control, *SCHEDULING

An approach for reliable circular supplier selection and circular closed-loop supply chain network design focusing on the collaborative costs, shortage, and circular criteria.

Autoři: Sajadiyan, Seyed Mohammad Hosnavi, Reza Karbasian, Mahdi a další

Zdroj: Environment, Development & Sustainability; Oct2025, Vol. 27 Issue 10, p23415-23438, 24p

Témata: SUPPLY chain management, SUPPLIERS, REVERSE logistics, RESOURCE allocation, COST shifting, MULTI-objective optimization

Blood supply chain location-inventory problem considering incentive programs: comparison and analysis of NSGA-II, NRGA and electromagnetic algorithms.

Autoři: Alikhani, Tayebeh Dezfoulian, Hamidreza Samouei, Parvaneh

Zdroj: Neural Computing & Applications; Nov2024, Vol. 36 Issue 31, p19469-19487, 19p

Témata: EXPECTATION-maximization algorithms, METAHEURISTIC algorithms, SUPPLY chain management, SUPPLY chain disruptions, STATISTICAL hypothesis testing

Designing a sustainable-resilient supply chain network with an emphasis on financing and investment decisions using the NSGA-II algorithm.

Autoři: Taebi, Peyman Modiri, Mahmoud Ali Khatami Firouzabadi, Seyyed Mohammad a další

Zdroj: International Journal of Nonlinear Analysis & Applications; Sep2024, Vol. 15 Issue 9, p93-112, 20p

Témata: SUPPLY chain management, INVESTMENTS, ECONOMIC decision making, POLLUTION, MIXED integer linear programming, GENETIC algorithms

Integrated production and distribution scheduling in a dental prosthetics supply chain under additive manufacturing environment

Autoři: S.Ali Torabi Yasin Heidari

Zdroj: Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 21, Iss 69, Pp 43-75 (2023)

Témata: integrated production and distribution scheduling, additive manufacturing, batch delivery, augmented epsilon constraint method, Industrial engineering. Management engineering, T55.4-60.8

Popis souboru: electronic resource

Relation: https://jims.atu.ac.ir/article_16038_c70490575b81429ca2430ab0a01d0b9d.pdf; https://doaj.org/toc/2251-8029; https://doaj.org/toc/2476-602X

Přístupová URL adresa: https://doaj.org/article/676b8d9b2d034f5c92b9a5da13e3e473

Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk

Autoři: Salehi-Amiri, Amirhossein Li, Xiuqin Allmendinger, Richard a další

Zdroj: Salehi-Amiri, A, Li, X, Allmendinger, R, Uyarra, E & Mercer, J 2025, Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk. in Genetic and Evolutionary Computation Conference (GECCO'25), July 14-18, 2025, Malaga, Spain.

Témata: Cybersecurity, Augmented Epsilon-constraint, Bi-objective modelling, Optimisation, MOEA/D

Přístupová URL adresa: https://research.manchester.ac.uk/en/publications/95e30f07-78d4-4755-b050-280189a31fbe