Study of the Non-Dominated Sorting Genetic Algorithm for the Optimal Structural Parameter of the Tooth-Arrangement Multi-Fingered Dextrous Hand

Abstract:

Firstly, the structural parameter optimization of the tooth-arrangement multi-fingered dextrous hand is studied. Secondly, as to the shortcomings that the Pareto solution of multi-objective optimization was distributed unevenly in NSGA-II, a non-dominated sorting genetic algorithm based on immune principle is proposed. Lastly, the structural parameter of the medical tooth-arrangement multi-fingered dextrous hand is optimized using the proposed algorithm. The experimental results show that this algorithm can optimize structural parameter of tooth-arrangement multi-fingered dextrous hand very well.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 4082-4089
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.4082
• Online since: September 2013
• Authors: Zhan Li Li, Xiang Ting He
• Keywords: Concentration, Genetic Algorithm (GA), Memory Cells, Multi-Fingered Dextrous Hand, Multi-Objective Optimization (MOP), Non-Dominated Sorting

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