Results 81 to 90 of about 57,800 (281)

Applications and algorithms for mixed integer nonlinear programming

Journal of Physics: Conference Series, 2009
The mathematical modeling of systems often requires the use of both nonlinear and discrete components. Discrete decision variables model dichotomies, discontinuities, and general logical relationships. Nonlinear functions are required to accurately represent physical properties such as pressure, stress, temperature, and equilibrium.
Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, Todd Munson   +4 more
openaire   +1 more source

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

Advanced Intelligent Systems, EarlyView.
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor, Shtwai Alsubai, Monji Mohamed Zaidi, Natalia Kryvinska, Abdullah Al Hejaili, Sidra Abbas   +5 more
wiley   +1 more source

Constrained optimization with integer and continuous variables using inexact restoration and projected gradients

Bulletin of Computational Applied Mathematics, 2016
Inexact restoration (IR) is a well established technique for continuous minimization problems with constraints that can be applied to constrained optimization problems with specific structures.
Ernesto G. Birgin, Rafael D. Lobato, José M. Martínez   +2 more
doaj  

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process

Chemie Ingenieur Technik, EarlyView.
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer, Markus Vogelbacher, Mücahit Terzi, Mohit Singh, Francsico Vidal‐Vazquez, Jörg Matthes   +5 more
wiley   +1 more source

Undecidability and hardness in mixed-integer nonlinear programming [PDF]

RAIRO - Operations Research, 2019
We survey two aspects of mixed-integer nonlinear programming which have attracted less attention (so far) than solution methods, solvers and applications: namely, whether the class of these problems can be solved algorithmically, and, for the subclasses which can, whether they are hard to solve.
openaire   +2 more sources

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone, Louise Gassot, Patrick Gérard, Peter D. Miller   +3 more
wiley   +1 more source

A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders

Energies, 2020
This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation.
O. D. Montoya, W. Gil-González, J. C. Hernández, D. A. Giral-Ramírez, A. Medina-Quesada   +4 more
doaj   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming

Energies
With access to new energy sources, the problem of reactive power optimization and dispatching has become increasingly important for research. However, the reactive power optimization problem is a mixed integer nonlinear optimization problem.
Binbin Xu, Mengqi Liu, Yilin Zhong, Peijie Cong, Bo Zhu, Tao Liu, Yujun Li, Zhengchun Du   +7 more
doaj   +1 more source