Improved population-based incremental learning algorithm for vehicle routing problems with soft time windows

An improved population-based incremental learning algorithm, in short IPBIL, is proposed to solve thevehicle routing problem with soft time windows (VRPSTW) with an objective to minimize the count of vehicles as well as the total travel distance.VRPSTW is subject to the soft time window constraint t...

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Veröffentlicht in:	Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control S. 548 - 553
Hauptverfasser:	Xianghu Meng, Jun Li, Bin Qian, MengChu Zhou, Xianzhong Dai
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2014
Schlagworte:	Global Exploration Population-Based Incremental Learning Algorithm Probability Model Random access memory Routing Vehicle Routing Problems with Soft Time Windows Vehicles
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