Výsledky vyhledávání - "Multi-objective mixed integer programming"
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Zdroj: Fuzzy Information and Engineering, Vol 17, Iss 1, Pp 75-107 (2025)
Témata: contractor selection, goal programming, fuzzy goal programming, project selection, QA1-939, fuzzy preference relation, multi-objective mixed integer programming, TA1-2040, Engineering (General). Civil engineering (General), Mathematics
Přístupová URL adresa: https://doaj.org/article/33818766a35e4505af93095d9b7867ed
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Zdroj: Shenzhen Daxue xuebao. Ligong ban, Vol 42, Iss 4, Pp 464-472 (2025)
Témata: transportation planning and management, air-rail intermodality, high-speed railway, train operation diagram, flight delay, multi-objective mixed integer programming, simulated annealing algorithm, Technology
Popis souboru: electronic resource
Přístupová URL adresa: https://doaj.org/article/e086b299d7114e5698c0b89a23e08ff4
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Zdroj: Remote Sensing, Vol 16, Iss 21, p 4004 (2024)
Témata: multi-static radar system (MSRS) deployment, non-connected deployment region, multi-objective particle swarm optimization (MOPSO), multi-objective segmented decision variable problem (MOSDVP), multi-objective mixed integer programming (MOMIP), multiple velocity formula, Science
Popis souboru: electronic resource
Přístupová URL adresa: https://doaj.org/article/3ceddc93cf9d4eba81bc3c236daf66ca
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Autoři: Ghira, Duarte
Témata: Operating Room, Scheduling Problem, Health Care Management, Mathematical Programming, Anesthesiology Scheduling, Multi-Objective Mixed-Integer Programming, Operationssal, Schemaläggningsproblem, Hälso-och sjukvårdsadministration, Matematisk programmering, Schemaläggning av anestesiologi, Multi-Objektiv Mixed-Integer Programmering, Computational Mathematics, Beräkningsmatematik
Popis souboru: application/pdf
Relation: TRITA-SCI-GRU; 2025:363
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Zdroj: Sustainability, Vol 14, Iss 16879, p 16879 (2022)
Témata: decision framework, online multi-sourcing multi-attribute reverse auction, green supplier selection, uncertainty, fuzzy multi-objective mixed integer programming, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350
Relation: https://www.mdpi.com/2071-1050/14/24/16879; https://doaj.org/toc/2071-1050; https://doaj.org/article/4b668070f8cc4d7b9e324b9bee951c05
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Zdroj: Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 16, Iss 48, Pp 73-107 (2018)
Témata: supplier selection in a supply chain, analytic network process, decision making trial and evaluation laboratory, robust multi-objective mixed integer programming, Industrial engineering. Management engineering, T55.4-60.8
Popis souboru: electronic resource
Relation: https://jims.atu.ac.ir/article_8367_ea8ed6c193ceac603ef97a91c9215089.pdf; https://doaj.org/toc/2251-8029; https://doaj.org/toc/2476-602X
Přístupová URL adresa: https://doaj.org/article/f4cfc6ee154849ca96845caa48137613
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Zdroj: انرژیهای تجدیدپذیر و نو, Vol 6, Iss 1, Pp 38-46 (2019)
Témata: energy supply chain, environmental, multi-objective mixed integer programming, ε-constraint method, Renewable energy sources, TJ807-830
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Zdroj: European Journal of Operational Research. 242:261-273
Témata: Business continuity planning, Risk managment, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, Disaster operations managment, Disaster recovery planning, 02 engineering and technology, Multi-objective mixed integer programming, Organizational resilience
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Zdroj: Procedia Manufacturing. 3:4448-4455
Témata: Augmented ɛ-constraint method, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Multi-objective mixed-integer programming, Human reliability, 02 engineering and technology, Operating theater scheduling, Priority level, 3. Good health
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Zdroj: مدیریت صنعتی, Vol 6, Iss 1, Pp 151-180 (2014)
Témata: supplier selection in a supply chain, Analytic Network Process, Decision Making Trial and Evaluation Laboratory (DEMATEL), multi objective mixed integer programming considering uncertainty in design variables, genetic algoritm, Management. Industrial management, HD28-70
Popis souboru: electronic resource
Relation: https://imj.ut.ac.ir/article_52240_9ac2fac55ab97cba14f0c0f62bd77fca.pdf; https://doaj.org/toc/2008-5885; https://doaj.org/toc/2423-5369
Přístupová URL adresa: https://doaj.org/article/c95b9c5e5b3246a0a8599b6e8bfb0dde
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Témata: Lean and green closed-loop supply chain management, Carbon dioxide emission, Multi-objective mixed-integer programming, Fuzzy weighted additive method, Fuzzy AHP, Network design
Relation: International Series in Operations Research and Management Science; Kitap Bölümü - Uluslararası; https://hdl.handle.net/20.500.13091/1177; 273; 39; 73; Q4
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Relation: Proceedings of the International Conference on Electronic Business (ICEB), 2015-January, 17-22; 15th International Conference on Electronic Business, ICEB 2015; Hyatt Regency Hotel, CUHKSha Tin; Hong Kong; 6 December 2015 到 10 December 2015; 代碼 118797; https://nccur.lib.nccu.edu.tw//handle/140.119/111940; https://nccur.lib.nccu.edu.tw/bitstream/140.119/111940/1/index.html
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Témata: Risk analysis, Pandemic, Cyber Physical Social Systems, Multi objective mixed integer programming
Popis souboru: application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/pdf
Relation: OU Thesis and Dissertation Collections; https://hdl.handle.net/11244/335990
Dostupnost: https://hdl.handle.net/11244/335990
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Témata: 閉迴路供應鏈, 多目標混合整數規劃, 穩健最佳化, Closed-loop supply chain, Multi-objective mixed integer programming model, Robust optimization
Popis souboru: 4949047 bytes; application/pdf
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D., and Relvas, S., “Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty,” European Journal of Operational Research, Vol. 226, No. 3, 2013, pp.436-451.\nCastillo-Villara, K. K., Smithb, N. R., and Simonton, J. L., “The impact of the cost of quality on serial supply-chain network design,” International Journal of Production Research, Vol. 50, No. 19, 2012, pp.5544-5566.\nChankong, V. and Haimes, Y. Y., “Optimization-based methods for multiobjective decisionmaking-An overview,” Large Scale Systems In Information And Decision Technologies, Vol.5, No.1, 1983, pp.1–33.\nChen, Z. and Andresen, S., “A multiobjective optimization model of production-sourcing for sustainable supply chain with consideration of social, environmental, and economic factors,” Mathematical Problems in Engineering, Vol. 2014, 2014, pp.1-11.\nDas, K. and Rao Posinasetti, N., “Addressing environmental concerns in closed loop supply chain design and planning,” International Journal of Production Economics, Vol. 163, 2015, pp.34-47.\nDeb, K., Pratap, A., Agerwal, S., and Meyarivan, T., “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, Vol. 6, 2002, pp.182–197.\nEl-Sayed, M., Afia, N., and El-Kharbotly, A., “A stochastic model for forward–reverse logistics network design under risk,” Computers & Industrial Engineering, Vol. 58, No. 3, 2010, pp.423–431.\nFleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Van Der Laan, E., Van Nunen, J. A. E. E., and Van Wassenhove, L. N. "Quantitative models for reverse logistics: A review," European Journal of Operational Research ,Vol.103,No.1,1997, pp. 1-17.\nFleischmann, M., Beullens, P., Bloemhof-Ruwaard, J., and Van Wassenhove, L., "The impact of product recovery on logistics network design," Production and Operations Management, Vol. 10, No. 2, 2001, pp.156-173.\nFranca, R. B., Jones, E. C., Richards, C. N., and Carlson, J. P., “Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality,” International Journal Production Economics, Vol. 127, No. 2, 2010, pp.292-299.\nGarg, K., Kannan, D., Diabat, A., and Jha, P. C., “A multi-criteria optimization approach to manage environmental issues in closed loop supply chain network design,” Journal of Cleaner Production, Vol. 100, 2015, pp.297-314.\nGovindan, K., Soleimani, H., and Kannan, D., “Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future,” European Journal of Operational Research, Vol. 240, No. 3, 2015, pp.603–626.\nGuide, V. D. R., Jr. and Van Wassenhove , L. N., “The evolution of closed-loop supply chain research, Operations Research, Vol. 57, No. 1, 2009, pp.10-18.\nGuide, V. D. R., Jayaraman, V., and Linton, J. D., “Building contingency planning for closed-loop supply chains with product recovery,” Journal of Operations Management,Vol. 21, No. 3, 2003, pp.259-279.\nGuiffrida, A.L., Datta, P., El Saadany, A., Jaber, M., and Bonney, M.,. “Environmental performance measures for supply chains,” Management Research Review, Vol. 34, No. 11, 2011, pp.1202-1221.\nHaimes, Y. Y., Lasdon, L. S., and Wismer, D. A., “On a bicriterion formulation of the problems of integrated system identification and system optimization,” IEEE Transactions on Systems Man and Cybernetics, Vol.1, 1971, pp.296-297.\nHatefi and Jolai, “Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions,” Applied Mathematical modelling, Vol.38, No.9-10, 2014, pp.2630-2647.\nHervani, A.A., Helms, M.M., and Sarkis, J., “Performance measurement for green supply chain management,” Benchmarking: An International Journal, Vol.12, No. 4 , 2005, pp.330-353.\nHuang, L., Murong, L., and Wang, W., “Green closed-loop supply chain network design considering cost control and CO2 emission,” Modern Supply Chain Research and Applications, ahead-of-print, 2020.\nHuang, Y.-C., Huang, C.-H., and Yang, M.-L., “Drivers of green supply chain initiatives and performance: Evidence from the electrical and electronics industries in Taiwan,” International Journal of Physical Distribution & Logistics Management, Vol. 47, No. 9, 2017, pp.796-819.\nHwang, C.L. and Masud, A.S.M., Multiple-objective decision making, methods and applications: A state-of-the-art survey, Springer-Verlag, Berlin, 1979.\nJayaraman, V., Patterson, R.A., and Rolland, E., “The design of reverse distribution networks: Models and solution procedures,” European Journal of Operational Research, Vol. 150, No.1, 2003, pp.128-149.\nJose Alem, D., and Morabito, R., “Production planning in furniture settings via robust optimization,” Computers & Operations Research, Vol.39, 2012, pp.139-150.\nKannan, G., Sasikumar, P., and Devika, K., “A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling,” Applied Mathematical Modelling, Vol. 34, No. 3, 2010, pp.655-670.\nKarimi, B., Niknamfar, A.H., Gavyar, B.H., Barzegar, M., and Mohtashami, A., “Multi-objective multi-facility green manufacturing closed-loop supply chain under uncertain environment,” Assembly Automation, Vol. 39, No. 1, 2019, pp.58-76.\nKazemia, N., Modak, N. M., and Govindan, K., “A review of reverse logistics and closed loop supply chain management studies published in IJPR: A bibliometric and content analysis,” International Journal of Production Research, Vol. 57, No. 15-16, 2019, pp.4937-4960.\nKhalilzadeh, M. and Derikvand, H., “A multi-objective supplier selection model for green supply chain network under uncertainty,” Journal of Modelling in Management, Vol. 13 No. 3, 2018, pp. 605-625.\nKim, K., Jeong, B., and Jung, H., “Supply chain surplus: Comparing conventional and sustainable supply chains,” Flexible Services and Manufacturing Journal, Vol. 26, 2014, pp.5-23.\nKo, H.J. and Evans, G.W., “A genetic algorithm-based heuristic for the dynamic integrated forward reverse logistics network for 3PLs,” Computers & Operations Research, Vol.34, No.2, 2007, pp.346-366.\nKrumwiede, D.W. and Sheu C., “A model for reverse logistics entry by third-party providers,” Omega, Vol.30, No. 5, 2002, pp. 325-333.\nLee, D. H. and Dong, M., “A heuristic approach to logistics network design for end-of-lease computer products recovery,” Transportation Research Part E, Vol. 44, No. 3, 2008, pp. 455-474.\nLee, D.-H., Dong, M., and Bian, W., “The design of sustainable logistics network under uncertainty,” International Journal of Production Economics, Vol. 128, No. 1, 2010, pp.159-166.\nLinton, J.D., Klassen, R., and Jayamaran, V., “Sustainable supply chains: an introduction,” Journal of Operations Management, Vol. 25, No. 6, 2007, pp.1075-1082.\nLiu, M., Liu, R., Zhu, Z., Chu, C., and Man, X., “A bi-objective green closed loop supply chain design problem with uncertain demand,” Sustainability, Vol. 10, No. 4, 2018, pp.967-988.\nLouwers, D., Kip, B. J., Peters, E., Souren, F., and Flapper, S. D. P. "A facility location allocation model for reusing carpet materials," Computers & Industrial Engineering ,Vol. 36, No.4, 1999, pp. 855-869.\nLu, Z. and Bostel, N., “A facility location model for logistics systems including reverse flows: The case of remanufacturing activities,” Computers & Operations Research, Vol.34, No. 2, 2007, pp. 299-323.\nMa, R., Yao, L., Jin, M., Ren, P., and Lv, Z., “Robust environmental closed-loop supply chain design under uncertainty,” Chaos, Solitons & Fractals, Vol. 89, 2016, pp.195-202.\nMahdi Saffar, M., Shakouri G., H., and Razmi, J., “A new multi objective optimization model for designing a green supply chain network under uncertainty,” International Journal of Industrial Engineering Computations, Vol. 6, No. 1, 2015, pp.15-32.\nMazloumian, M., Fazle Baki, M., and Ahmadi, M., “A robust multiobjective integrated master surgery schedule and surgical case assignment model at a publicly funded hospital,” Computers & Industrial Engineering, Vol.163, 2022, p.107826.\nMeade, L. and Sarkis, J., “A conceptual model for selecting and evaluating third-party reverse logistics providers,” Supply Chain Management: An International Journal, Vol. 7, No. 5, 2002, pp. 283- 295.\nMeixell, M. J. and Gargeya, V. B., “Global supply chain design: A literature review and critique,” Transportation Research Part E, Vol. 41, No. 6, 2005, pp. 531-550.\nMirzapour Al-e-hashem, S.M.J., Malekly, H., and Aryanezhad, M.B., “A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty,” International Journal of Production Economics, Vol.134, No. 1, 2011, pp.28-42.\nMohammed, F., Selim, S. Z., Hassan, A., and Syed, M. N., “Multi-period planning of closed-loop supply chain with carbon policies under uncertainty,” Transportation Research Part D, Vol. 51, 2017, pp.146-172.\nMota, B., Gomes, M. I., Carvalho, A., and Barbosa-Povoa, A. P., “Towards supply chain sustainability: economic, environmental and social design and planning” Journal of Cleaner Production, Vol. 105, 2015, pp.14-27.\nMulvey, J. M., Vanderbei, R. J., and Zenios, S. A., "Robust optimization of large-scale systems," Operations research, Vol. 43, No. 2 ,1995, pp. 264-281.\nOršič, J., Rosi, B., and Jereb, B., “Measuring sustainable performance among logistic service providers in supply chains,” Tehnički Vjesnik – Technical Gazette, Vol. 26, No. 5, 2019, pp.1478-1485.\nÖzkır, V., and Baslıgil, H., “Multi-objective optimization of closed-loop supply chains in uncertain environment,” Journal of Cleaner Production, Vol. 41, 2013, pp.114-125.\nPaksoy, T., Özceylana, E., and Weber, G.-W., “A multi objective model for optimization of a green supply chain network,” Global Journal of Technology and Optimization, Vol. 2, 2011, pp.84-96.\nPasandideh, S.H.R., Niaki, S.T.A., and Asadi, K., “Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA,” Information Sciences, Vol. 292, 2015, pp.57-74.\nPeng H., Shen, N., Liao, H. L., Xue, H. Q., and Wang, Q. W., “Uncertainty factors, methods, and solutions of closed-loop supply chain - A review for current situation and future prospects,” Journal of Cleaner Production, Vol. 254, 2020, pp.1-20.\nPishvaee, M. S., Farahani, R. Z., and Dullaert, W., “A memetic algorithm for bi-objective integrated forward/reverse logistics network design,” Computers & Operations Research, Vol. 37, No. 6, 2010, pp.1100-1112.\nPishvaee, M. S., Jolai, F., and Razmi, J., “A stochastic optimization model for integrated forward/reverse logistics network design,” Journal of Manufacturing Systems, Vol.28, No. 4, 2009, pp.107-114.\nPishvaee, M. S., Rabbani, M., and Torabi, S. A., “A robust optimization approach to closed-loop supply chain network design under uncertainty,” Applied Mathematical Modelling, Vol. 35, No. 2, 2011, pp.637-649.\nPishvaee, M. S. and Razmi, J., “Environmental supply chain network design using multi-objective fuzzy mathematical programming,” Applied Mathematical Modelling, Vol. 36, No.8, 2012, pp. 3433–3446.\nPourjavad, E. and Mayorga, R.V., “Optimization of a sustainable closed loop supply chain network design under uncertainty using multi-objective evolutionary algorithms,” Advances in Production Engineering & Management, Vol. 13, No. 2, 2018, pp.216-228.\nQuariguasi Frota Neto, J., Walther, G., Bloemhof, J., van Nunen, J. A. E. E., and Spengler, T., “From closed-loop to sustainable supply chains: The WEEE case,” International Journal of Production Research, Vol. 48, No. 15, 2010, pp.4463-4481.\nRamezani, M., Bashiri, M., and Tavakkoli-Moghaddam, R., “A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level,” Applied Mathematical Modelling, Vol. 37, No. 1-2, 2013, pp.328-344.\nRamezani, M., Farhang Moghaddam, B., Pishvaee, M. S., Bozorgi-Amiri, A., and Gholamnejad, S., “A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry,” Journal of Cleaner Production, Vol. 113, 2016, pp.662-673.\nSafaei, A. S., Roozbeh, A., and Paydar, M. M., “A robust optimization model for the design of a cardboard closed-loop supply chain,” Journal of Cleaner Production, Vol.166, 2017, pp. 1154-1168.\nSalema, M. I. G., Póvoa, A. P. B., and Novais, A. Q., “A strategic and tactical model for closed-loop supply chains,” OR Spectrum, Vol. 31, No. 3, 2009, pp.573-599.\nSalema, M. I. G., Póvoa, A. P. B., and Novais, A. Q., “A warehouse-based design model for reverse logistics”, Journal of the Operational Research Society, Vol. 57, No. 6, 2006, pp.615-629.\nSánchez-Flores, R.B., Cruz-Sotelo, S.E., Ojeda-Benitez, S., and Ramírez-Barreto, M.E., “Sustainable supply chain management- A literature review on emerging economies,” Sustainability, Vol.12, No. 17, 2020, pp.6972.\nSarkis, J., “A strategic decision framework for green supply chain management,” Journal of Cleaner Production, Vol. 11, No. 4, 2003, pp. 397-409.\nSarkis, J., Zhu, Q., and Lai, K.-h., “An organizational theoretic review of green supply chain management literature,” International Journal of Production Economics, Vol.130, No. 1, 2011, pp.1-15.\nSeuring, S. and Müller, M., “From a literature review to a conceptual framework for sustainable supply chain management,” Journal of Cleaner Production, Vol. 16, 2008, pp.1699-1710.\nShi, J., Zhang, G., and Sha, J., “Optimal production planning for a multi-product closed loop system with uncertain demand and return,” Computers & Operations Research, Vol. 38, No. 3, 2011, pp.641-650.\nSheu, J. B., Chou, Y. H., and Hu, C., “An integrated logistic operational model for green supply chain management,” Transportation Research Part E, Vol. 41, No. 4, 2005, pp. 287-313.\nShih, L.H., “Reverse logistics system planning for recycling electrical appliances and computers in Taiwan,” Resources, Conservation and Recycling, Vol.32, No.1, 2001, pp.55-72.\nSrivastava, S.K., “Green supply‐chain management: A state‐of‐the‐art literature review,” International Journal of Management Reviews, Vol.9, No.1, 2007, pp.53-80.\nTrisna, T., Marimin, M., Arkeman, Y., and Sunarti, T. C., “Multi-objective optimization for supply chain management problem: A literature review,” Decision Science Letters, Vol.5, 2016, pp.283-316.\nTseng, M.-L., Islam, M. S., Karia, N., Fauzi, F. A., and Afrin, S., “A literature review on green supply chain management: Trends and future challenges,” Resources, Conservation & Recycling, Vol.141, 2019, pp.145-162.\nUster, H., Easwaran, G., Akcali, E., and Cetinkaya, S., “Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model,” Naval Research Logistics, Vol. 54, No. 8, 2007, pp.890-907.\nYang, G., Wang, Z., and Li, X., “The optimization of the closed-loop supply chain network,” Transportation Research Part E, Vol. 45, No. 1, 2009, pp. 16-28.\nYavari, M. and Geraeli, M., “Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods,” Journal of Cleaner Production, Vol.226, 2019, pp.282-305.\nYeh, W.-C. and Chuang, M.-C., “Using multi-objective genetic algorithm for partner selection in green supply chain problems,” Expert Systems With Applications, Vol.38, No. 4, 2011, pp.4244-4253.\nYu, C. and Li, H., “A robust optimization model for stochastic logistic problems,” International Journal of Production Economics, Vol. 64, 2000, pp.385-397.\nZhalechian, M., Tavakkoli-Moghaddam, R., Zahiri, B., and Mohammadi, M., “Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty,” Transportation Research Part E, Vol.89, 2016, pp.182-214.\nZhao, R., Liu, Y., Zhang, N., and Huang, T., “An optimization model for green supply chain management by using a big data analytic approach,” Journal of Cleaner Production, Vol. 142, 2017, pp.1085-1097.; G0102356508; https://nccur.lib.nccu.edu.tw//handle/140.119/139983; https://nccur.lib.nccu.edu.tw/bitstream/140.119/139983/1/650801.pdf
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Témata: 自行車道, 路網設計問題, 都市遊憩, 多目標混合整數規劃, ε-限制式法, bikeway, network design problem, urban recreation, multi-objective mixed integer programming problem, ε-constraint method
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Autoři: Wei, Hairui1
Zdroj: Journal of Coastal Research 37(3):644-655. 2021
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Zdroj: Journal of environmental management [J Environ Manage] 2023 Apr 15; Vol. 332, pp. 117071. Date of Electronic Publication: 2023 Feb 14.
Způsob vydávání: Journal Article
Informace o časopise: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE
Výrazy ze slovníku MeSH: Carbon* , Motor Vehicles*, Uncertainty ; Transportation ; Beverages
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Zdroj: Annals of operations research [Ann Oper Res] 2022 Aug 22, pp. 1-47. Date of Electronic Publication: 2022 Aug 22.
Způsob vydávání: Journal Article
Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 101608624 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0254-5330 (Print) Linking ISSN: 02545330 NLM ISO Abbreviation: Ann Oper Res
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Zdroj: Validi, Sahar, Bhattacharya, Arijit and Byrne, P.J. ORCID: 0000-0002-4446-1509 <
Témata: Sustainable supply chain; Distribution system; Multi-objective mixed-integer programming; Solution method; Design of experiment; MOGA-II optimiser, Article, PeerReviewed
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