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

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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.

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Correspondence to Don Jyh-Fu Jeng.

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Jeng, D.JF., Kim, I. & Watada, J. Bio-soft computing with fixed-length DNA to a group control optimization problem. Soft Comput 12, 223–228 (2008). https://doi.org/10.1007/s00500-007-0202-y

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  • DOI: https://doi.org/10.1007/s00500-007-0202-y

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