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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Bibliographic Details

Published in:	Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control pp. 548 - 553
Main Authors:	Xianghu Meng, Jun Li, Bin Qian, MengChu Zhou, Xianzhong Dai
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2014
Subjects:	Global Exploration Population-Based Incremental Learning Algorithm Probability Model Random access memory Routing Vehicle Routing Problems with Soft Time Windows Vehicles
Online Access:	Get full text
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