Results 231 to 240 of about 164,719 (284)

Research on multi-objective emergency resource scheduling optimization in chemical industrial parks. [PDF]

PLoS One
Wang Y, Zhang M, Lu J, Gui Y.
europepmc   +1 more source

Value chain optimization in large scale gas network considering elevation and transmission direction. [PDF]

Sci Rep
Ning X, Qiu J, Yu D.
europepmc   +1 more source

Neuromorphic spike-based large language model. [PDF]

Natl Sci Rev
Xu H, Qiu X, Xu Y, Elbtity ME, Zhou P, Tian Y, Zhu RJ, Zhang J, Gu S, Pan Y, Chou Y, Wen Q, Yao M, Qian J, Tian Y, Ma L, Huang T, Eshraghian JK, Xu B, Li G.   +19 more
europepmc   +1 more source

Decision-making for pediatric vaccination scheduling under multiple constraints: a case study from China^✰. [PDF]

Front Public Health
Ma X, Huang Q, Chai S, Zhang M.
europepmc   +1 more source

A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]

J Optim Theory Appl
Dienstbier J, Liers F, Rolfes J.
europepmc   +1 more source

Integer linear programming for contrasting state interventions in Boolean networks. [PDF]

PeerJ
Bampos C, Megalooikonomou V.
europepmc   +1 more source

Online Mixed-Integer Optimization in Milliseconds

INFORMS Journal on Computing, 2022
We propose a method to approximate the solution of online mixed-integer optimization (MIO) problems at very high speed using machine learning. By exploiting the repetitive nature of online optimization, we can greatly speed up the solution time. Our approach encodes the optimal solution into a small amount of information denoted as strategy using the ...
Dimitris J Bertsimas, Bartolomeo Stellato   +1 more
exaly   +3 more sources

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MINTO, a mixed INTeger optimizer

Operations Research Letters, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
George L. Nemhauser, Martin W. P. Savelsbergh, Gabriele Sigismondi   +2 more
openaire   +2 more sources

Mixed-integer nonlinear optimization

Acta Numerica, 2013
Many optimal decision problems in scientific, engineering, and public sector applications involve both discrete decisions and nonlinear system dynamics that affect the quality of the final design or plan. These decision problems lead to mixed-integer nonlinear programming (MINLP) problems that combine the combinatorial difficulty of optimizing over ...
Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Ashutosh Mahajan   +5 more
openaire   +2 more sources