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Multi-Vehicle Passenger Allocation and Route Optimization for Employee Transportation using Genetic Algorithms

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 64 - Number 20
Year of Publication: 2013
Authors:
Janaki Wanigasooriya
T G I Fernando
10.5120/10747-5712

Janaki Wanigasooriya and T G I Fernando. Article: Multi-Vehicle Passenger Allocation and Route Optimization for Employee Transportation using Genetic Algorithms. International Journal of Computer Applications 64(20):1-9, February 2013. Full text available. BibTeX

@article{key:article,
	author = {Janaki Wanigasooriya and T G I Fernando},
	title = {Article: Multi-Vehicle Passenger Allocation and Route Optimization for Employee Transportation using Genetic Algorithms},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {64},
	number = {20},
	pages = {1-9},
	month = {February},
	note = {Full text available}
}

Abstract

Design of optimal solutions to real world problems are quite complicated and optimizing vehicle routing is significant in today's world. Vehicle routing problems are combinatorial and NP hard. This research discusses about employee transportation optimization which uses split deliveries when the employees' demand of a city greater than the vehicle capacities where vehicle capacities may be homogeneous or heterogeneous. The problem is purely multi-objective and the objectives considered in the problem are minimizing travel time, minimizing total distance, and minimizing no of vehicles which are the most concerned by companies and employees. The proposed algorithms for the employee transport optimization run efficiently and provide invaluable support to the decision maker for taking right routing decisions.

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