Bio-soft computing with fixed-length DNA to a group control optimization problem

Authors:
Don Jyh-Fu Jeng;Ikno Kim;Junzo Watada
Affiliations:
Waseda University, Graduate School of Information, Production and Systems, 2-7 Hibikino, Wakamatsu-ku, 808-0135, Kitakyushu, Fukuoka, Japan;Waseda University, Graduate School of Information, Production and Systems, 2-7 Hibikino, Wakamatsu-ku, 808-0135, Kitakyushu, Fukuoka, Japan;Waseda University, Graduate School of Information, Production and Systems, 2-7 Hibikino, Wakamatsu-ku, 808-0135, Kitakyushu, Fukuoka, Japan
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on BISCSE 2005 " Forging the Frontiers" Part II
Year:
2007

Citing 0
Cited 5

A Biologically Intelligent Encoding Approach to a Hierarchical Classification of Relational Elements in a Digraph

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A Bio-inspired Evolutionary Approach to Identifying Minimal Length Decision Rules in Emotional Usability Engineering

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Determining Workstation Groups in a Fixed Factory Facility Based on Biological Computation

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A bio-soft computing approach to re-arrange a flexible manufacturing robot

KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
DNA computing approach to management engineering

KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

A bio-soft computing method with fixed-length DNA to solve a group control optimization problem is presented in this paper. In the example of a multi-elevator dispatching problem, fixed-length DNA strands are used in representing the nodes and costs, where the costs are varied by the melting temperature of DNA strands. The optimal solution to a 6-story 2-elevator dispatching problem is searched by biochemical techniques based on the thermodynamic properties of designed DNA strands. This research has shown the potential of bio-soft computing solving the engineering applications, and could be implemented in the future bio-systems.