LINGO

LINGO is a comprehensive tool designed to make building and solving Linear, Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster, easier and more efficient. LINGO provides a completely integrated package that includes a powerful language for expressing optimization models, a full featured environment for building and editing problems, and a set of fast built-in solvers


References in zbMATH (referenced in 319 articles )

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  1. Farnam, Madineh; Darehmiraki, Majid: Path programming problems in fuzzy environment (2022)
  2. Behmanesh, Elham; Pannek, Jürgen: A comparison between memetic algorithm and genetic algorithm for an integrated logistics network with flexible delivery path (2021)
  3. Gupta, Kavita; Arora, Ritu: Three dimensional bounded transportation problem (2021)
  4. Kostarelou, Eftychia; Kozanidis, George: Bilevel programming solution algorithms for optimal price-bidding of energy producers in multi-period day-ahead electricity markets with non-convexities (2021)
  5. Liu, Yu; Lin, Xiaolin; Li, Jianquan: Analysis and control of a delayed HIV infection model with cell-to-cell transmission and cytotoxic T lymphocyte immune response (2021)
  6. Lohmann, Timo; Bussieck, Michael R.; Westermann, Lutz; Rebennack, Steffen: High-performance prototyping of decomposition methods in GAMS (2021)
  7. Mashud, Abu Hashan Md; Wee, Hui-Ming; Huang, Chiao-Ven: Preservation technology investment, trade credit and partial backordering model for a non-instantaneous deteriorating inventory (2021)
  8. Sahoo, Palash; Jana, Dipak Kumar; Pramanik, Sutapa; Panigrahi, Goutam: A novel reduction method for type-2 uncertain normal critical values and its applications on 4D profit transportation problem involving damageable and substitute items (2021)
  9. Supakar, Puja; Mahato, Sanat Kumar; Pal, Pintu: Intuitionistic fuzzy inventory model with deterioration incorporating advance payment with time-dependent demand (2021)
  10. Wang, Sheng-Yuan; Chen, Wan-Ming; Wang, Rong; Wu, Xiao-Lan: Multiobjective evaluation of coevolution among innovation populations based on Lotka-Volterra equilibrium (2021)
  11. Adak, Amal Kumar: An integrated model of EOQ and newsboy problem for substitutable items with space constraints (2020)
  12. Arora, Ritu; Gupta, Kavita: Fuzzy goal programming technique for multi-objective indefinite quadratic bilevel programming problem (2020)
  13. Bera, Sukhendu; Jana, Dipak Kumar; Basu, Kajla; Maiti, Manoranjan: Novel multi-objective green supply chain model with (\mathrmCO_2) emission cost in fuzzy environment via soft computing technique (2020)
  14. Bhatia, Mahak; Rana, Anil: Integrated farm model for optimal allocation of resources -- a linear programming approach (2020)
  15. Chen, Liang-Hsuan; Nien, Sheng-Hsing: Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations (2020)
  16. Colapinto, Cinzia; Jayaraman, Raja; La Torre, Davide: Goal programming models for managerial strategic decision making (2020)
  17. Das, R.; Solanki, H.; Jana, R. K.: An investigation of involving supplier and manufacturer based inventory models under uncertain fuzzy constraints (2020)
  18. Halder, Sharmistha (Jana); Giri, Debasis; Das, Barun; Panigrahi, Goutam; Maiti, Manoranjan: 4-dimensional transportation problem for substitute and complementary items under rough environment (2020)
  19. Hocine, Amin; Zhuang, Zheng-Yun; Kouaissah, Noureddine; Li, Der-Chiang: Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions (2020)
  20. Hu, Xiaohua; Bayanmunkh, Bolormaa; Zhang, Zhongwei: Mathematical modeling for optimally allocating the medical and health supplies reserve in Hainan province (2020)

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