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Bio-soft computing with fixed-length DNA to a group control optimization problem
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DOI：10.1007/s00500-007-0202-y.png)
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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.
Keyword:
soft computing
DNA computing
evolutionary computation
combinatorial optimization
elevator dispatching problem
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IF:
2.5
论文数:
1.0W
被引数:
2.1W
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