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

Zhaowang Ji; Yong Seog Kim; Anthony Chen

doi:10.1016/j.eswa.2010.07.064

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

Zhaowang Ji Yong Seog Kim Anthony Chen

Year: 2010 Journal: Expert Systems with Applications Vol: 38 (3)Pages: 1515-1528 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2010.07.064

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Keywords:

Mathematical optimization Pareto principle Computer science Crossover Genetic algorithm Path (computing) Filter (signal processing) Set (abstract data type) Multi-objective optimization Mathematics Artificial intelligence

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

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