optimized bus scheduling based on improved multi ojective genetic algorithm
Makhare Rahul Dhanaji,Nimbalkar Jayvant Hanumant,Pawar Dipak Sanjay,Shirsat Vijay Bajirao
Published in International Journal of Advanced Research in Computer Networking,Wireless and Mobile Communications
ISSN: 2320-7248 Impact Factor:1.8 Volume:2 Issue:1 Year: 09 April,2015 Pages:125-132
Abstract
It is close to difficult to perform the transport planning of urban transport lines which perform the operational cost and enhance the nature of transport. the fundamental reason for this paper to minimize holding up time of traveler on that particular course and expand the entire benefit of MSRTC. the one needs to dole out transport to travel a set of excursion containing time table while minimizing number of destinations that may clash with every other. Actually we are considering all methodologies and targets in the weighted manner to discover single goals and the uses single target advancement approach to explain it.
Kewords
Bus line, genetic algorithm (GA), multi objective optimization, public transportation, vehicle scheduling
Reference
[1] J. JIANG, X. SONG, AND N. YU, “FOCUS: LEARNING TO CRAWL WEB FORUMS”, IEEE TRANS. Knowledge and Data Engg, pp. 1293-1306, 2013. [2] “Web Forum Crawling Techniques”, by Namrata H.S Bamrah, B.S Satpute, Pramod Patil, International journal of computer Applications, No 17, Vol 85, January 2014. [3] “iRobot: An Intelligent Crawler for Web Forums” by R. Cai, J.-M. Yang, W. Lai, Y. Wang, and L. Zhang, Proc. 17th Int‟l Conf. World Wide Web, pp. 447-456, 2008. [4] “Learning URL Patterns for Webpage De-Duplication”, by H.S. Koppula, K.P. Leela, A. Agarwal, K.P. Chitrapura, S. Garg and A. Sasturkar, Proc. Third ACM Conf. WebSearch and Data Mining, pp. 381-390, 2010. [5] A. Moreo, E.M. Eisman, J.L. Castro, J.M. Zurita. Learning regular expressions totemplate-based FAQ retrieval systems, Knowledge-Based Systems, (2013
