Abstract
Ridesharing is considered as one of the promising solutions for dropping the consumption of fuel and reducing the congestion in urban cities, hence reducing the environmental pollution. In this work, we present an evolutionary multiobjective route planning algorithm for solving the route planning problem in the dynamic multi-hop ridesharing. The experiments indicate that the evolutionary approach is able to provide a good quality set of route plans and outperforms the generalized label correcting algorithm in term of runtime.
This work was partially supported by the German Academic Exchange Service (DAAD), Grant no. A/08/99166.
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Herbawi, W., Weber, M. (2011). Evolutionary Multiobjective Route Planning in Dynamic Multi-hop Ridesharing. In: Merz, P., Hao, JK. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2011. Lecture Notes in Computer Science, vol 6622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20364-0_8
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DOI: https://doi.org/10.1007/978-3-642-20364-0_8
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