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- W2908115992 abstract "An assumption on deterministic travel times of the vehicles might not be realistic for the dispatching problem of multiple Autonomous Intelligent Vehicles (AIVs). Thus, this paper presents a more accurate approach to solve this problem by considering stochastic travel times of the vehicles. The problem is modeled as a stochastic combinatorial optimization (SCO) problem that aims to minimize the total travel time and balance the utilization time of AIVs. Genetic Algorithm (GA) is then used to provide near-optimal solutions for the SCO. The obtained near-optimal results are then compared with the ones using conventional ruled-based approaches. The results showed that the GA solver could outperform the conventional ruled-based approaches in both deterministic and stochastic testing scenarios." @default.
- W2908115992 created "2019-01-11" @default.
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- W2908115992 date "2018-11-01" @default.
- W2908115992 modified "2023-09-25" @default.
- W2908115992 title "Dispatching of multiple Autonomous Intelligent Vehicles considering stochastic travel times by Genetic Algorithm" @default.
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- W2908115992 doi "https://doi.org/10.1109/icarcv.2018.8581260" @default.
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