Avoiding Obstacle Planning for Robots on Molecular Optimization Algorithm
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TP301.6

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    Abstract:

    Interest in DNA computing has increased overwhelmingly since Adleman successfully demonstrated its capability to solve Hamiltonian Path Problem. This article introduces the improving method in virtue of the biological thery of DNA technology, a new molecular algorithm is advanced. After a numerical simulation, the result shows that it avoids the prematurely and lower convergent speed of the classic genetic algorithm, and inherits global search capability, the validity and the speed of the genetic algorithm have been increased. The best result can be obtained in few iterative times. It is fit for solving path planning problem.

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杨大地,张雷.基于分子优化算法的机器人避障规划[J].重庆大学学报,2007,30(1):102~105

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  • Revised:August 23,2006
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