REAL

The Fritz-John Condition System in Interval Branch and Bound method

Gencsi, Mihály and G.-Tóth, Boglárka (2023) The Fritz-John Condition System in Interval Branch and Bound method. Annales Mathematicae et Informaticae, 58.. pp. 56-68. ISSN 17876117

[img]
Preview
Text
AMI_58_from56to68.pdf - Published Version

Download (534kB) | Preview

Abstract

The Interval Branch and Bound (IBB) method is a good choice when a rigorous solution is required. This method handles computational errors in the calculations. Few IBB implementations use the Fritz-John (FJ) optimality condition to eliminate non-optimal boxes in a constrained non-linear programming problem. Applying the FJ optimality condition implies solving an interval-valued system of equations. In the best case, the solution is an empty set if the interval box does not contain an optimizer point. Solving this system of equations is complicated or unsuccessful in many cases. This problem can be caused by the interval box being too wide, the defined system of equations containing unnecessary constraints, or the solver being unsuccessful. These unsuccessful attempts have a negative outcome and only increase the computation time. In this study, we propose some modifications to reduce the running time and computational requirements of the Interval Branch and Bound method.

Item Type: Article
Uncontrolled Keywords: Global Optimization, Interval Arithmetic, Fritz-John condition, Branch and Bound method, Optimality condition
Subjects: Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Depositing User: Tibor Gál
Date Deposited: 13 Nov 2023 14:34
Last Modified: 13 Nov 2023 14:34
URI: http://real.mtak.hu/id/eprint/179777

Actions (login required)

Edit Item Edit Item