Results 51 to 60 of about 3,712,066 (178)
As decentralized energy supply units, microgrids can make a decisive contribution to achieving climate targets. In this context, it is particularly important to determine the optimal size of the energy components contained in the microgrids and their ...
Maximilian Roth +2 more
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An Outer-Inner Approximation for Separable Mixed-Integer Nonlinear Programs [PDF]
A common structure in convex mixed-integer nonlinear programs (MINLPs) is separable nonlinear functions. In the presence of such structures, we propose three improvements to the outer approximation algorithms. The first improvement is a simple extended formulation, the second is a refined outer approximation, and the third is a heuristic inner ...
Hassan L. Hijazi +2 more
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A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization
Bilevel optimization is a field of mathematical programming in which some variables are constrained to be the solution of another optimization problem. As a consequence, bilevel optimization is able to model hierarchical decision processes.
Thomas Kleinert +3 more
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On the interplay of Mixed Integer Linear, Mixed Integer Nonlinear and Constraint Programming [PDF]
In this thesis we study selected topics in the field of Mixed Integer Programming (MIP), in particular Mixed Integer Linear and Nonlinear Programming (MI(N)LP). We set a focus on the influences of Constraint Programming (CP). First, we analyze Mathematical Programming approaches to water network optimization, a set of challenging optimization ...
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Mixed-integer nonlinear programming 2018 [PDF]
Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimization.
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Restoration model for unbalanced distribution networks considering renewable sources uncertainties
Extreme events cause blackouts, resulting in the distribution network being unable to obtain power from the upstream transmission system. In this situation, local distributed resources can be fully utilized to improve system resilience.
Tao Zhang +6 more
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Joint Allocation on Communication and Computing Resources for Fog Radio Access Networks
To improve the user experience, an increasing number of mobile applications offload their computing tasks to servers with powerful computing capabilities. The fog radio access network (F-RAN) incorporates the concept of “fog computing” into
Yingteng Ma +4 more
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Computer-aided modeling and mathematical optimization of energy systems are essential for improving operational efficiency and achieving emission reductions, particularly for steam turbine systems with part-load-dependent efficiency characteristics ...
Louisa Zaubitzer +2 more
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Time-Optimal Attitude Scheduling of a Spacecraft Equipped with Reaction Wheels
The time-optimal control problem of a spacecraft equipped with reaction wheels has been studied, in which the spacecraft is constrained to sequentially assume a set of attitudes, whose order is not specified.
Alberto Olivares, Ernesto Staffetti
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Plantwide optimization of monoclonal antibody manufacturing platforms via mixed integer nonlinear programming [PDF]
Design variables of upstream and downstream process units play a significant role in the performance of monoclonal antibody (mAb) production platforms.
Wil Jones, Dimitrios I. Gerogiorgis
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