๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A heuristic technique for generating minimal path and cutsets of a general network

โœ Scribed by Amjed M Al-Ghanim


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
239 KB
Volume
36
Category
Article
ISSN
0360-8352

No coin nor oath required. For personal study only.

โœฆ Synopsis


Reliability evaluation techniques employ a variety of tools for system modeling and calculation of reliability indices. Amongst the most popular tools are network-based algorithms founded on the concept of minimal paths and minimal cutsets. This paper presents a heuristic programming technique for deducing minimal paths of a network. In this technique, only minimal paths are immediately generated without explicitly determining whether or not a path is minimal. This technique has been implemented on a digital computer to generate a minimal path matrix, which is in turn utilized to generate minimal cutsets of the network. In terms of computational speed, the results obtained compare well with existing algorithms. The technique requires minimum memory storage and minimum user-deยฎned data to represent the topology of a network and follows a modular design strategy. Use of the algorithm is illustrated by examples.


๐Ÿ“œ SIMILAR VOLUMES


A general scheme for automatic generatio
โœ Kalev Kask; Rina Dechter ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 396 KB

The paper presents and evaluates the power of a new scheme that generates search heuristics mechanically for problems expressed using a set of functions or relations over a finite set of variables. The heuristics are extracted from a parameterized approximation scheme called Mini-Bucket elimination

Lagrangian heuristic for a class of the
โœ Igor Litvinchev; Miguel Mata; Socorro Rangel; Jania Saucedo ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 314 KB

A Lagrangian based heuristic is proposed for many-to-many assignment problems taking into account capacity limits for task and agents. A modified Lagrangian bound studied earlier by the authors is presented and a greedy heuristic is then applied to get a feasible Lagrangian-based solution. The latte