Research of Product Design Optimization Based on Supporting Vector and Artificial Fish Swarm Algorithm

In order to meet customers’ demand for perceptual cognition of product form, this paper proposes method to optimize the design of product form based on supporting vector and artificial fish swarm algorithm. First, determine features of targets, representative samples and modeling design parameters for product perceptual design survey; and then, use supporting vector to obtain the mapping relation between “styling design parameters — product perception”, and use artificial fish swarm algorithm to establish product styling optimization design system with refrigerator profile optimization design for the case study. The results show that this method well stimulates the design thinking, thus it can provide effective aid and support for product concept design.