The optimal solution of TSP using the new mixture initialization and sequential transformation method in genetic algorithm

  • Authors:
  • Rae-Goo Kang;Chai-Yeoung Jung

  • Affiliations:
  • Dept. Computer Science & Statistic, Chosun University, Gwangju, Korea;Dept. Computer Science & Statistic, Chosun University, Gwangju, Korea

  • Venue:
  • PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
  • Year:
  • 2006

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Abstract

TSP is a problem finding out the shortest distance out of possible courses where one starts a certain city and turns back to a starting city, visiting every city only once among N cities. This paper proposes the new method using both population initialization and sequential transformation method at the same time and then proves the improvement of capability by comparing them with existing methods.