This manuscript reviews recent advances in deterministic global optimization for Mixed- Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
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 …
D Wang, Y Peng, X Ma, W Ding, H Jiang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Dynamic Adaptive Streaming over HTTP (DASH) has been widely adopted to deal with such user diversity as network conditions and device capabilities. In DASH systems, the …
Nonconvex mixed-integer nonlinear programs (MINLPs) represent a challenging class of optimization problems that often arise in engineering and scientific applications. Because of …
In the literature for mixed integer programming, heuristic algorithms (particularly primal heuristics) are often considered as stand-alone procedures; in that context, heuristics are …
Y Cheng, M Pesavento - IEEE Transactions on Signal …, 2012 - ieeexplore.ieee.org
In this paper, we consider the joint optimization of the source power allocation and relay beamforming weights in distributed multiuser peer-to-peer (MUP2P) relay networks applying …
C Wang, HM Wang, DWK Ng, XG Xia… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper investigates the physical-layer security of a multiuser peer-to-peer (MUP2P) relay network for amplify-and-forward (AF) protocol, where a secure user and other unclassified …
T Berthold - Mathematical Programming Computation, 2014 - Springer
This article introduces rens, the relaxation enforced neighborhood search, a large neighborhood search algorithm for mixed integer nonlinear programs (MINLPs). It uses a …
In this paper we investigate the effects of replacing the objective function of a 0-1 mixed- integer convex program (MIP) with a “proximity” one, with the aim of using a black-box solver …