Results 241 to 250 of about 4,477 (306)

A machine learning approach to risk based asset allocation in portfolio optimization. [PDF]

Sci Rep
Agal S, Raulji K, Odedra ND.
europepmc   +1 more source

Minimum flow decomposition in graphs with cycles using integer linear programming. [PDF]

J Glob Optim
Dias FHC, Williams L, Mumey B, Tomescu AI.   +3 more
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Robust coffee plant disease classification using deep learning and advanced feature engineering techniques. [PDF]

PeerJ Comput Sci
Ardah H, Alrahhal M, M Abd-Elhafiez W, Trabay D.   +3 more
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Calibration of transmission-dynamic infectious disease models: A scoping review and reporting framework. [PDF]

PLoS Comput Biol
Dankwa EA, Cavalli L, Balasubramanian R, Can MH, Cui H, Jia KM, Li Y, Ofori SK, Swartwood NA, Wade CG, Buckee CO, Imai-Eaton JW, Menzies NA.   +12 more
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Quantum annealing-based route optimization for commercial AGV operating systems in large-scale logistics warehouses. [PDF]

Sci Rep
Quang TN, Matsuyama K, Shimizu K, Sugano H, Kurimoto E, Miki M, Suzuki J, Chen Z, Waidyasooriya HM, Hariyama M, Hitomi M, Sawamura K, Ohzeki M.   +12 more
europepmc   +1 more source

Sequential Quadratic Programming-Based Contingency Constrained Optimal Power Flow

, 2003
Slobodan Pajic
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Sequential Quadratic Programming

Acta Numerica, 1995
Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has arguably become the most successful method for solving nonlinearly constrained optimization problems. As with most optimization methods, SQP is not a single algorithm, but rather a conceptual method from which numerous specific algorithms have evolved.
Paul T. Boggs, Jon W. Tolle
openaire   +1 more source

Stabilized Sequential Quadratic Programming

Computational Optimization and Applications, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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