Evolutionary multiobjective route planning in dynamic multi-hop ridesharing
作者： Wesam Herbawi , Michael Weber
DOI: 10.1007/978-3-642-20364-0_8
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摘要: Ridesharing is considered as one of the promising solutions for dropping consumption fuel and reducing congestion in urban cities, hence environmental pollution. In this work, we present an evolutionary multiobjective route planning algorithm solving problem dynamic multi-hop ridesharing. The experiments indicate that approach able to provide a good quality set plans outperforms generalized label correcting term runtime.
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