Abstract:
Rising vehicle numbers and increased use of private cars have caused significant traffic congestion, noise and energy waste. Public transport cannot always be set up in t...View moreMetadata
Abstract:
Rising vehicle numbers and increased use of private cars have caused significant traffic congestion, noise and energy waste. Public transport cannot always be set up in the non-urban areas. Car pooling, which is based on the idea that sets of car owners having the same travel destination share their vehicles has emerged to be a viable possibility for reducing private car usage around the world. In this paper, we present a guided genetic algorithm (GGA) for long-term car pooling problem. Computational results are given to show that this approach is competitive with some of the most powerful heuristics.
Published in: 2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS)
Date of Conference: 11-15 April 2011
Date Added to IEEE Xplore: 14 July 2011
ISBN Information: