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Open AccessArticle

A Product Conceptual Design Method Based on Evolutionary Game

1
School of Science and Engineering, Sichuan University, Sichuan 610065, China
2
Sinohydro Jiajiang Hydraulic Machinery Company Limited, Sichuan 614000, China
*
Author to whom correspondence should be addressed.
Machines 2019, 7(1), 18; https://doi.org/10.3390/machines7010018
Received: 3 December 2018 / Revised: 19 February 2019 / Accepted: 4 March 2019 / Published: 5 March 2019
(This article belongs to the Special Issue Smart Manufacturing)
In this paper, an intelligent-design method to deal with conceptual optimization is proposed for the decisive impact of the concept on the product-development cycle cost and performance. On the basis of matter-element analysis, an effective functional-structure combination model satisfying multiple constraints is first established, which maps the product characteristics obtained by expert research and customer-requirements analysis of the function and structure domain. Then, the Evolutionary Game Algorithm (EGA) was utilized to solve the model, in which a strategy-combination space is mapped to the solution-search space of the conceptual-solution problem, and the game-utility function is mapped to the objective functions of concept evaluation. Constant disturbance and Best-Response Correspondence were applied cross-repeatedly until the optimal equilibrium Pareto state corresponding to the global optimal solution was obtained. Finally, the method was simulated on MATLAB 8.3 and applied to the design for fixed winch hoist, which greatly shortens its design cycle. View Full-Text
Keywords: conceptual design; intelligent design; evolutionary game; domain mapping conceptual design; intelligent design; evolutionary game; domain mapping
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MDPI and ACS Style

Huo, Y.-L.; Hu, X.-B.; Chen, B.-Y.; Fan, R.-G. A Product Conceptual Design Method Based on Evolutionary Game. Machines 2019, 7, 18.

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