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A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows (2018)
Journal Article
Chen, B., Qu, R., Bai, R., & Laesanklang, W. (2018). A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows. Applied Intelligence, 48(12), 4937–4959. https://doi.org/10.1007/s10489-018-1250-y

In this paper, a Mixed-Shift Vehicle Routing Problem is proposed based on a real-life container transportation problem. In a long planning horizon of multiple shifts, transport tasks are completed satisfying the time constraints. Due to the different... Read More about A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows.

Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization (2018)
Journal Article
Xu, Y., Ding, O., Qu, R., & Li, K. (2018). Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization. Applied Soft Computing, 68, 268-282. https://doi.org/10.1016/j.asoc.2018.03.053

In Wireless Sensor Networks (WSN), maintaining a high coverage and extending the network lifetime are two conflicting crucial issues considered by real world service providers. In this paper, we consider the coverage optimization problem in WSN with t... Read More about Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization.