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2004 | OriginalPaper | Chapter

Non-Linear Programming Solvers for Decision Analysis

Authors : Xiaosong Ding, Mats Danielson, Love Ekenberg

Published in: Operations Research Proceedings 2003

Publisher: Springer Berlin Heidelberg

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Several methods have been developed over a number of years for solving decision problems when vague and numerically imprecise information prevails. However, the DELTA method and similar methods give rise to particular bilinear programming problems that are time consuming to solve in a real-time environment. This paper presents a set of benchmark tests for non-linear programming solvers for solving this special type of problems. With two existing linear programming based algorithms, it also investigates the performance of linear programming solvers for special decision situations in decision analysis systems.

Metadata
Title
Non-Linear Programming Solvers for Decision Analysis
Authors
Xiaosong Ding
Mats Danielson
Love Ekenberg
Copyright Year
2004
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-17022-5_61

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