Multi-objective α-reliable path finding in stochastic networks with correlated link costs: A simulation-based multi-objective genetic algorithm approach (SMOGA)

In this study, we propose a new simulation-based multi-objective genetic algorithm (SMOGA) approach to find a portfolio of reliable nondominant (Pareto) paths, a set of paths that is equally good or better at least in one objective space compared to all other paths, in stochastic networks while cons...

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Veröffentlicht in:	Expert systems with applications Jg. 38; H. 3; S. 1515 - 1528
Hauptverfasser:	Ji, Zhaowang, Kim, Yong Seog, Chen, Anthony
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2011
Schlagworte:	Chance constrained model Genetic algorithm Multi-objective path finding Pareto paths Travel time reliability Multi-objective path finding Pareto paths Chance constrained model Genetic algorithm Travel time reliability
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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