• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2016, Vol. 52 ›› Issue (1): 72-78.

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Optimization Design of Shape-shifting Robot Based on Many-objective Directional Hybrid Evolutionary Algorithm

ZHANG Yongjian,  BI Xiaojun   

  1. 1. College of Information and Communication Engineering, Dalian Nationalities University, Dalian 116600;
    2. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001
  • Revised:2015-10-06 Online:2016-01-05 Published:2016-01-05

Abstract: To implement the performance optimization in the complex environment and task of the amphibious transformable robot, a parameter design of a shape-shifting robot based on high-dimensional multi-objective hybrid evolutionary algorithm is proposed, according to the structure and motion characteristics. The searching space is divided into several directional regions by a group of direction vectors. The many-objective optimization problem of shape-shifting robot is translated into several singe-objective optimization problems in the fixed directions. A hybrid evolutionary strategy is proposed to search for the optimal scheme of the structural parameters. A new elitism strategy based on interactive fuzzy dominance and density estimation factor is utilized to enhance the advancement and the distribution of the population. Experimental results show that high-dimensional multi-objective multi-direction evolutionary algorithm can search the reasonable structural parameters more quickly and objectively, which provided more choices for the designers. The new method is simple and efficient for the structural parameters design of the robot.

Key words: amphibious transformable robot, directional hybrid evolution, high-dimensional multi-objective optimization, interactive fuzzy dominance, structure parameter design