## Abstract In a network subject to arc failures, each chain has a probability of failure. Therefore the maximal flow in the network is a random variable. The problem considered here is that of maximizing the expected flow. An arcβchain formulation of the problem, and an algorithm for computing an
β¦ LIBER β¦
Scheduling arc maintenance jobs in a network to maximize total flow over time
β Scribed by Boland, Natashia; Kalinowski, Thomas; Waterer, Hamish; Zheng, Lanbo
- Book ID
- 122806738
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 862 KB
- Volume
- 163
- Category
- Article
- ISSN
- 0166-218X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Maximal expected flow in a network subje
β
Y. P. Aneja; K. P. K. Nair
π
Article
π
1980
π
John Wiley and Sons
π
English
β 494 KB
A bicriteria approach to maximize the we
β
Dvir Shabtay; Yaron Bensoussan; Moshe Kaspi
π
Article
π
2012
π
Elsevier Science
π
English
β 199 KB
A multi-objective genetic algorithm for
β
T. Pasupathy; Chandrasekharan Rajendran; R.K. Suresh
π
Article
π
2005
π
Springer
π
English
β 270 KB
Investing in arcs in a network to maximi
β
Stein W. Wallace
π
Article
π
1987
π
John Wiley and Sons
π
English
β 808 KB
[Springer Optimization and Its Applicati
β
RΓos-Mercado, Roger Z.; RΓos-SolΓs, YasmΓn A.
π
Article
π
2011
π
Springer New York
π
English
β 302 KB
Whether different types of costs are to be reduced, benefits to be maximized or scarce resourcesΒ to be managed, scheduling theory provides intelligent methods for practitioners and scientists. The just-in-time (JIT) production philosophy has enriched the classical scheduling theory with models that
Total completion time minimization in tw
β
F.J. Hwang; M.Y. Kovalyov; B.M.T. Lin
π
Article
π
2012
π
Elsevier Science
π
English
β 515 KB