DNA-based evolutionary algorithm for cable trench problem

  • Authors:
  • Don Jyh-Fu Jeng;Ikno Kim;Junzo Watada

  • Affiliations:
  • Graduate School of Information, Production and Systems, Waseda University, Wakamatsu, Kitakyushu, Fukuoka, Japan;Graduate School of Information, Production and Systems, Waseda University, Wakamatsu, Kitakyushu, Fukuoka, Japan;Graduate School of Information, Production and Systems, Waseda University, Wakamatsu, Kitakyushu, Fukuoka, Japan

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

An evolutionary DNA computing algorithm is proposed for solving a cable trench problem in this paper. The cable trench problem is a combination of the shortest path and minimum spanning tree problems, which makes it difficult to be solved by conventional computing method. DNA computing is applied to overcome the limitation, where fixed-length DNA strands are used in representing numerical values and the weights are varied by melting temperatures. Biochemical techniques in terms of DNA thermodynamic properties are used for effective local search of the optimal solution.