A two-stage approach to the multiple-agent orienteering problem with stochastic weight and capacity constraints
Xinrui Liu,
XingGnag Luo,
Zhongliang Zhang
et al.
Abstract:The Multiple-Agent Orienteering Problem with Capacity Constraints (MAOPCC) is one kind of routing problem that finds applications in both tourism and transportation industries. The MAOPCC aims to find feasible routeS with maximum profit considering time constraints. In this paper, we extend the MAOPCC to the Multiple-Agent Orienteering Problem with Stochastic Weight and Capacity Constraints (MAOPCCSW) to address the uncertainty in practical situations. The problem is solved using a two-stage stochastic model w… Show more
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