Results 91 to 100 of about 1,124 (204)
Fractal and FractionalEconomic dispatch in wind-integrated power systems is a critical challenge, yet many recent metaheuristics suffer from premature convergence, heavy parameter tuning, and limited ability to escape local optima in non-smooth valve-point landscapes.
Abdul Wadood +4 more
doaj +1 more source
IEEE AccessThe global drive towards carbon neutrality has led to a significant increase in the number of power plants based on renewable energy sources (RES). Concurrently, numerous households are adopting RES to generate their own energy, aiming to decrease both ...
A. Daniel Carnerero +7 more
doaj +1 more source
Certified Global Optimality for Nonconvex Integer Programs via Extended Formulations
Nonconvex integer programs (NCIPs) pose significant challenges in optimization due to the inherent difficulties arising from both nonconvexity and integrality constraints. Finding globally optimal solutions for such problems is often computationally intractable, and even establishing bounds on the global optimum can be highly complex.
Revista, Zen, MATH, 10
openaire +1 more source
Certifiable Global Optimality for Large-Scale Nonconvex Mixed-Integer Programs
Mixed-Integer Nonlinear Programming (MINLP) problems are ubiquitous in science and engineering, modeling complex systems where decisions are both continuous and discrete, and relationships are nonlinear. However, the presence of nonconvexity and large-scale structures presents significant challenges to obtaining and, crucially, certifying global ...
Revista, Zen, MATH, 10
openaire +2 more sources
EURASIP Journal on Advances in Signal Processing, 2010 The problem of jointly optimizing the source precoder, relay transceiver, and destination equalizer has been considered in this paper for a multiple-input-multiple-output (MIMO) amplify-and-forward (AF) relay channel, where the channel estimates of all ...
Vandendorpe Luc, Chalise BatuK
doaj
Impact of endogenous learning curves on maritime transition pathways
Environmental Research LettersThe maritime industry is a crucial hard-to-abate sector that is expected to depend on high-energy density renewable liquid fuels in the future. Traditionally, decarbonization pathways have been assessed assuming exogenous cost trajectories for renewable ...
Sebastian Franz, Rasmus Bramstoft
doaj +1 more source
TOMLAB - Large-Scale Optimization in MATLAB, LABVIEW and .NET [PDF]
, 2007 The optimization environment TOMLAB, http://tomopt.com, has seen a tremendous growth during the last years. Most state-of-the-art optimization software has been hooked up, e.g. KNITRO, SNOPT and CONOPT for large-scale nonlinear programming, and CPLEX and
Holmström, Kenneth,, Edvall, Marcus,
core
A D-induced duality and its applications [PDF]
This paper attempts to extend the notion of duality for convex cones, by basing it on a predescribed conic ordering and a fixed bilinear mapping. This is an extension of the standard definition of dual cones, in the sense that the nonnegativity of the ...
Zhang, S., Brinkhuis, J.
core +1 more source
A class of nonconvex semidefinite programming in which every KKT point is globally optimal
We consider a special class of nonconvex semidefinite programming problems and show that every point satisfying the Karush--Kuhn--Tucker (KKT) conditions is globally optimal despite nonconvexity. This property is related to pseudoconvex optimization. This class of problems is motivated by an eigenfrequency topology optimization problem in structural ...
Nishioka, Akatsuki, Kanno, Yoshihiro
openaire +2 more sources
Semidefinite relaxation based branch-and-bound method for nonconvex quadratic programming [PDF]
, 2006 Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2006.Includes bibliographical references (leaves 73-75).In this thesis, we use a semidefinite relaxation based branch-and-bound method to solve ...
Hu, Sha, S.M. Massachusetts Institute of Technology
core