Cargo Transportation Path Optimization Based on Intelligent Algorithm

This paper analyzes the problem of cargo transportation optimization based on improved genetic algorithm and improved ant colony algorithm. The results show that genetic algorithm is better than ant colony algorithm in the calculation efficiency of genetic algorithm, the algorithm stability and the stability of the calculated results. On the other hand, ant colony algorithm is able to conduct an optimization path with "duplicate point", which cannot be realized by the genetic algorithm. These two kinds of intelligent algorithms are complementary in solving path optimization problems.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 3552-3559
  • Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration

Subject/Index Terms

Filing Info

  • Accession Number: 01525595
  • Record Type: Publication
  • ISBN: 9780784411391
  • Files: TRIS, ASCE
  • Created Date: Nov 12 2013 1:53PM