Solving Traveling Salesman Problems Using Molecular Programming
نویسندگان
چکیده
Molecular programming (MP) has been proposed as an evolutionary computation algorithm at the molecular level [Zhang and Shin, 1998]. MP are different from other evolutionary algorithms in its representation of solutions using DNA molecular structures and its use of bio-lab techniques for recombination of partial solutions. In this paper, molecular programming is applied to traveling salesman problems (TSPs) whose solution requires encoding of real-values in DNA strands. We propose a new encoding scheme for real values that is biologically plausible and has a fixed code length. The effectiveness of the proposed method is verified by simulations and by comparison with Narayanan and Zorbalas’.
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