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 289 articles )

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  1. Adak, Amal Kumar: An integrated model of EOQ and newsboy problem for substitutable items with space constraints (2020)
  2. 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)
  3. Chen, Liang-Hsuan; Nien, Sheng-Hsing: Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations (2020)
  4. Colapinto, Cinzia; Jayaraman, Raja; La Torre, Davide: Goal programming models for managerial strategic decision making (2020)
  5. Das, R.; Solanki, H.; Jana, R. K.: An investigation of involving supplier and manufacturer based inventory models under uncertain fuzzy constraints (2020)
  6. Halder, Sharmistha (Jana); Giri, Debasis; Das, Barun; Panigrahi, Goutam; Maiti, Manoranjan: 4-dimensional transportation problem for substitute and complementary items under rough environment (2020)
  7. 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)
  8. Roul, J. N.; Maity, K.; Kar, S.; Maiti, M.: A multi-item imperfect optimal production problem through Chebyshev approximation (2020)
  9. Samanta, Sarbari; Jana, Dipak Kumar; Panigrahi, Goutam; Maiti, Manoranjan: Production dependent agricultural 3D transportation problem with maximization of annual net profit in generalized intuitionistic fuzzy environment (2020)
  10. Sengupta, Dipanjana; Das, Amrit; Dutta, Anirban; Bera, Uttam Kumar: A fixed charge solid transportation problem with possibility and expected value approaches in hybrid uncertain environment (2020)
  11. Chang, Jiyoun C.; Graves, Stephen C.; Kirchain, Randolph E.; Olivetti, Elsa A.: Integrated planning for design and production in two-stage recycling operations (2019)
  12. Goldenberg, Steven; Stathopoulos, Andreas; Romero, Eloy: A Golub-Kahan Davidson method for accurately computing a few singular triplets of large sparse matrices (2019)
  13. Paratane, P.; Bit, A. K.: Fuzzy programming technique with new exponential membership function for the solution of multiobjective transportation problem (2019)
  14. Yu, Jing-Rung; Chiou, Wan-Jiun Paul; Lee, Wen-Yi; Chuang, Tsao-Yuan: Realized performance of robust portfolios: worst-case Omega vs. CVaR-related models (2019)
  15. Das, Amrit; Bera, Uttam Kumar; Maiti, Manoranjan: Defuzzification and application of trapezoidal type-2 fuzzy variables to Green solid transportation problem (2018)
  16. Gupta, Srikant; Ali, Irfan; Ahmed, Aquil: Multi-objective capacitated transportation problem with mixed constraint: a case study of certain and uncertain environment (2018)
  17. Lancia, Giuseppe; Serafini, Paolo: Compact extended linear programming models (2018)
  18. Mehdizadeh, Esmaeil; Niaki, Seyed Taghi Akhavan; Hemati, Mojtaba: A bi-objective aggregate production planning problem with learning effect and machine deterioration: modeling and solution (2018)
  19. Sengupta, Dipanjana; Bera, Uttam Kumar: Reduction of type-2 lognormal uncertain variable and its application to a two-stage solid transportation problem (2018)
  20. Sun, Yan; Hrušovský, Martin; Zhang, Chen; Lang, Maoxiang: A time-dependent fuzzy programming approach for the green multimodal routing problem with rail service capacity uncertainty and road traffic congestion (2018)

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