Title: Modular design method of EOD robot based on genetic algorithm

Authors: Qiang Yin; Zhichao Xiong; Shaoyun Song; Guoquan Zhang

Addresses: College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China ' College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China ' College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China ' College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China

Abstract: With the rapid development of product design, the modular design method shows unique advantages in the design of the product. Modular design has become a hot spot in the manufacturing and design industry. The aim of the modular design method is to make up the products which include many types and specifications with fewer types and quantities of modules. In this paper, EOD robot design is the research object according to the module division principle, from the point of view of the EOD robot products is divided into several basic units by clustering algorithm, genetic algorithm, qualitative and quantitative module clustering and the application of genetic algorithm to solve the problem of modular design. By analysing the design example of modular EOD robot, the feasibility and effectiveness of the module partition method are verified.

Keywords: modular design; module division; module clustering; genetic algorithm.

DOI: 10.1504/IJWMC.2018.095696

International Journal of Wireless and Mobile Computing, 2018 Vol.15 No.2, pp.185 - 193

Available online: 09 Oct 2018 *

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