Affiliation:
1. School of Art, Northwest University, Xi’an 710127, China
2. School of Cultural Heritage, Northwest University, Xi’an 710127, China
Abstract
A Pareto-based genetic algorithm (PGA) product design decision model is proposed in this work to improve the efficiency of product design decisions and avoid the instability of individual decision differences. Based on the product modeling design decision constraint space, decision variables, and other factors, the model utilizes the PGA optimization algorithm to make an objective decision on a design scheme. Using the analytic hierarchy process, the design expectations, objectives, variables, and schemes are constructed into a hierarchical structure. The design decision problems are then mapped to a mathematical model, and a simulation of the design scheme decision process is performed. Finally, the feasibility of the proposed model is analyzed and verified by evaluating the design decisions of a brand electric scooter product to guide designers in making innovative design decisions.
Funder
Natural Science Basic Research Program of Shaanxi Province
Subject
General Engineering,General Mathematics