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Efficient representation of boolean decision structures through Boolean function optimization. [PDF]

Front Artif Intell
Srinivas M, Sheet D.
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IRS assisted hybrid HAP UAV uplink NOMA networks: an interference aware optimization framework. [PDF]

Sci Rep
Alhashmi AA, Alshammari AB, Abdullah M, Alghawli ASA, Alkhaldi TM, Darem LA, Mohamed IB, Darem AA.   +7 more
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Rethinking chemical clusters: Greenfield and brownfield transition to net-zero by 2050. [PDF]

iScience
Tiggeloven JL, Faaij APC, Kramer GJ, Gazzani M.   +3 more
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New algorithms for mixed-integer dynamic optimization

Computers and Chemical Engineering, 2003
Abstract Mixed-integer dynamic optimization (MIDO) problems arise in chemical engineering whenever discrete and continuous decisions are to be made for a system described by a transient model. Areas of application include integrated design and control, synthesis of reactor networks, reduction of kinetic mechanisms and optimization of hybrid systems ...
Stratos Pistikopoulos, John D Perkins, Vassilis Sakizlis   +2 more
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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
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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
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An algorithm for mixed integer optimization

Mathematical Programming, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthias Köppe, Robert Weismantel
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On Mixed Integer Nonsmooth Optimization

2020
In this chapter we review some deterministic solution methods for convex mixed integer nonsmooth optimization problems. The methods are branch and bound, outer approximation, extended cutting plane, extended supporting hyperplane and extended level bundle method.
Westerlund Karl, Mäkelä Marko, Eronen Ville-Pekka, Westerlund Tapio   +3 more
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Granularity in Nonlinear Mixed-Integer Optimization

Journal of Optimization Theory and Applications, 2019
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Christoph Neumann 0002, Oliver Stein, Nathan Sudermann-Merx   +2 more
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Global mixed‐integer dynamic optimization

AIChE Journal, 2005
AbstractRecent advances in process synthesis, design, operations, and control have created an increasing demand for efficient numerical algorithms for optimizing a dynamic system coupled with discrete decisions; these problems are termed mixed‐integer dynamic optimization (MIDO).
Chachuat, Benoit, Singer, Adam B., Barton, Paul I.   +2 more
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