Tractable Global Optimization Algorithms for Small Boolean Quadratic Programming Problems without Multiplications and Floating-Point Operations

Fast r-flip move evaluations via closed-form formulae for Boolean quadratic programming problems with generalized upper bound constraints

Computers & Operations Research ◽

10.1016/j.cor.2021.105297 ◽

2021 ◽

pp. 105297

Author(s):

Eduardo A. J. Anacleto ◽

Cláudio N. Meneses ◽

Ricardo N. Liang

Keyword(s):

Quadratic Programming ◽

Closed Form ◽

Upper Bound ◽

Bound Constraints ◽

A new local and global optimization method for mixed integer quadratic programming problems

Applied Mathematics and Computation ◽

10.1016/j.amc.2010.07.062 ◽

2010 ◽

Vol 217 (6) ◽

pp. 2501-2512 ◽

Cited By ~ 5

Author(s):

G.Q. Li ◽

Z.Y. Wu ◽

J. Quan

Keyword(s):

Global Optimization ◽

Quadratic Programming ◽

Optimization Method ◽

Mixed Integer ◽

Global Optimization Method ◽

Integer Quadratic Programming ◽

Mixed Integer Quadratic Programming

Global optimization of a class of nonconvex quadratically constrained quadratic programming problems

Acta Mathematica Sinica English Series ◽

10.1007/s10114-011-8351-4 ◽

2011 ◽

Vol 27 (9) ◽

pp. 1803-1812 ◽

Cited By ~ 1

Author(s):

Yong Xia

Keyword(s):

Global Optimization ◽

Quadratic Programming ◽

Quadratically Constrained Quadratic Programming ◽

Quadratically Constrained

Advances in Intelligent Systems and Computing - Optimization of Complex Systems: Theory, Models, Algorithms and Applications ◽

A Global Optimization Algorithm for the Solution of Tri-Level Mixed-Integer Quadratic Programming Problems

10.1007/978-3-030-21803-4_58 ◽

2019 ◽

pp. 579-588

Author(s):

Styliani Avraamidou ◽

Efstratios N. Pistikopoulos

Keyword(s):

Global Optimization ◽

Quadratic Programming ◽

Optimization Algorithm ◽

Mixed Integer ◽

Global Optimization Algorithm ◽

Integer Quadratic Programming ◽

Mixed Integer Quadratic Programming

Solution of boolean quadratic programming problems by two augmented Lagrangian algorithms based on a continuous relaxation

Journal of Combinatorial Optimization ◽

10.1007/s10878-019-00517-8 ◽

2020 ◽

Vol 39 (3) ◽

pp. 792-825 ◽

Cited By ~ 1

Author(s):

Rupaj Kumar Nayak ◽

Nirmalya Kumar Mohanty

Keyword(s):

Quadratic Programming ◽

Augmented Lagrangian ◽

Continuous Relaxation ◽

Augmented Lagrangian Algorithms ◽

On the solution of nonconvex cardinality Boolean quadratic programming problems: a computational study

Computational Optimization and Applications ◽

10.1007/s10589-016-9856-7 ◽

2016 ◽

Vol 66 (1) ◽

pp. 1-37 ◽

Cited By ~ 2

Author(s):

Ricardo M. Lima ◽

Ignacio E. Grossmann

Keyword(s):

Quadratic Programming ◽

Computational Study ◽

A Global Optimization Algorithm for Concave Quadratic Programming Problems

SIAM Journal on Optimization ◽

10.1137/0803042 ◽

1993 ◽

Vol 3 (4) ◽

pp. 826-842 ◽

Cited By ~ 21

Author(s):

Immanuel M. Bomze ◽

Gabriele Danninger

Keyword(s):

Global Optimization ◽

Quadratic Programming ◽

Optimization Algorithm ◽

Global Optimization Algorithm ◽

Concave Quadratic Programming

A note on “A new local and global optimization method for mixed integer quadratic programming problems” by G.Q. Li et al.

Applied Mathematics and Computation ◽

10.1016/j.amc.2010.12.057 ◽

2011 ◽

Vol 217 (12) ◽

pp. 5998

Author(s):

Morteza Pakdaman

Keyword(s):

Global Optimization ◽

Quadratic Programming ◽

Optimization Method ◽

Mixed Integer ◽

Global Optimization Method ◽

Integer Quadratic Programming ◽

Mixed Integer Quadratic Programming

Long-Step Path-Following Algorithm for Convex Quadratic Programming Problems in a Hilbert Space

Journal of Optimization Theory and Applications ◽

10.1023/a:1022626006554 ◽

1997 ◽

Vol 95 (3) ◽

pp. 615-635 ◽

Cited By ~ 4

Author(s):

L. Faybusovich ◽

J. B. Moore

Keyword(s):

Hilbert Space ◽

Quadratic Programming ◽

Path Following ◽

Convex Quadratic Programming ◽

Path Following Algorithm

Bounds for convex quadratic programming problems and some important applications

International Journal of Operational Research ◽

10.1504/ijor.2017.086528 ◽

2017 ◽

Vol 30 (2) ◽

pp. 277

Author(s):

Morteza Pakdaman ◽

Sohrab Effati

Keyword(s):

Quadratic Programming ◽

Convex Quadratic Programming ◽

Quadratic Programming Problems