The unconstrained binary quadratic programming problem: a survey
In recent years the unconstrained binary quadratic program (UBQP) has grown in
importance in the field of combinatorial optimization due to its application potential and its …
importance in the field of combinatorial optimization due to its application potential and its …
Neuro-symbolic learning yielding logical constraints
Neuro-symbolic systems combine the abilities of neural perception and logical reasoning.
However, end-to-end learning of neuro-symbolic systems is still an unsolved challenge. This …
However, end-to-end learning of neuro-symbolic systems is still an unsolved challenge. This …
Resource allocation and power control in cooperative small cell networks with backhaul constraint
A joint resource allocation (RA), user association (UA), and power control (PC) problem is
addressed for proportional fairness (PF) maximization in cooperative multiuser downlink …
addressed for proportional fairness (PF) maximization in cooperative multiuser downlink …
α-fairness-maximizing user association in energy-constrained small cell networks
Renewable energy source (RES)-powered base stations have received tremendous
research interest in recent years because they can expand network coverage without …
research interest in recent years because they can expand network coverage without …
A solution approach for solving fully fuzzy quadratic programming problems
NA Taghi-Nezhad, F Taleshian - Journal of applied research on …, 2018 - journal-aprie.com
Quadratic Programming has been widely applied to solve real-world problems. This paper
describes a solution method for solving a special class of fuzzy quadratic programming …
describes a solution method for solving a special class of fuzzy quadratic programming …
Deep learning-aided user association and power control with renewable energy sources
The renewable energy source (RES)-powered small cell base station (SBS) is a promising
technology for the next-generation networks because RESs provide sustainable energy …
technology for the next-generation networks because RESs provide sustainable energy …
[PDF][PDF] A new approach for solving fully fuzzy quadratic programming problems
HAEW Khalifa - Int. J. Optim. Civil Eng, 2020 - researchgate.net
Quadratic programming (QP) is an optimization problem wherein one minimizes (or
maximizes) a quadratic function of a finite number of decision variable subject to a finite …
maximizes) a quadratic function of a finite number of decision variable subject to a finite …
Sufficient optimal conditions for unconstrained quadratic binary problems
L Liu, C Liu, Q Xie - 12th International Symposium on …, 2015 - ieeexplore.ieee.org
In this article, we present several sufficient optimal conditions for unconstrained quadratic
binary problems, which can be applied in algorithms combining with SDP relaxations in …
binary problems, which can be applied in algorithms combining with SDP relaxations in …
[图书][B] Quadratically Constrained Quadratic Programming Problems and Extensions
Q Jin - 2011 - search.proquest.com
In this dissertation, quadratically constrained quadratic programming (QCQP) problems and
extensions are studied. We first discuss the case of a quadratic programming problem with …
extensions are studied. We first discuss the case of a quadratic programming problem with …
A new penalty parameter for linearly constrained 0–1 quadratic programming problems
Y Hsia, Y Wang - Optimization Letters, 2013 - Springer
A new penalty parameter for linearly constrained 0–1 quadratic programming problems Page 1
Optim Lett (2013) 7:765–778 DOI 10.1007/s11590-012-0458-8 ORIGINAL PAPER A new …
Optim Lett (2013) 7:765–778 DOI 10.1007/s11590-012-0458-8 ORIGINAL PAPER A new …