Study on multi-objective optimization of flow allocation in a multi-commodity stochastic-flow network with unreliable nodes
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Publication:949351
DOI10.1007/s12190-008-0093-9zbMath1193.90056OpenAlexW1998898288MaRDI QIDQ949351
Wenke Zang, Qiang Liu, Qingzhen Zhao
Publication date: 21 October 2008
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12190-008-0093-9
Multi-objective and goal programming (90C29) Stochastic programming (90C15) Stochastic network models in operations research (90B15) Approximation methods and heuristics in mathematical programming (90C59)
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Uncertainty observer and stabilization for transportation network with constraints ⋮ Network reliability maximization for stochastic-flow network subject to correlated failures using genetic algorithm and tabu search ⋮ Maximizing reliability of the capacity vector for multi-source multi-sink stochastic-flow networks subject to an assignment budget ⋮ Component allocation cost minimization for a multistate computer network subject to a reliability threshold using tabu search ⋮ Determine the optimal carrier selection for a logistics network based on multi-commodity reliability criterion
Cites Work
- Using minimal cuts to study the system capacity for a stochastic-flow network in two-commodity case.
- An efficient constraint handling method for genetic algorithms
- An algorithm to evaluate the system reliability for multicommodity case under cost constraint
- Extend the quickest path problem to the system reliability evaluation for a stochastic-flow network
- Two-commodity reliability evaluation for a stochastic-flow network with node failure
- A simple algorithm for reliability evaluation of a stochastic-flow network with node failure
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