On the Solution of Bi-level Large Scale Quadratic Programming Problem with Stochastic Parameters in the Constraints
O. E. Emam, S. A. Kholeif, S. M. Azzam
Journal of Advances in Mathematics and Computer Science · pp. 571–582 · Published 18 Nov 2014
10.9734/BJMCS/2015/14371Abstract
In this paper, the bi-level large scale quadratic programming problem with stochastic parameters in the constraints (SBLLSQPP) is solved. Randomness is assumed only on the right-hand side of the constraints and the random variables are assumed to be normally distributed. The main features of the proposed solution procedure are based on convert the probabilistic nature of this problem into an equivalent deterministic, Taylor transformation and decomposition algorithms. An illustrative numerical example is given to clarify the main results developed in the paper.
Cited by 1
M. Osman, O. Emam, M. Sayed · 2016
Related research
- Bi-Level Multi-Objective Large Scale Integer Quadratic Programming Problem with Symmetric Trapezoidal Fuzzy Numbers in the Objective Functions — shares topic coverage
- A Computational Model for Multi-level Quadratically Constrained Quadratic Optimization under Fully Fuzzy Environment — shares topic coverage
- Multi-level Multi-objective Quadratic Fractional Programming Problem with Fuzzy Parameters: A FGP Approach — shares topic coverage
- On the Solution of a Rough Interval three-level Quadratic Programming Problem — shares topic coverage
- Quadrex Algorithm for Negative Definite Quadratic Programming Models — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.