Scalable platform design optimization using hybrid co-evolutionary algorithms

Aiming to solve the tradeoff between platform commonality and derivative products performances during the product platform design, the characteristics of products using adaptive development strategy were analyzed firstly. Then based on the design space two-dimensional chromosome representation scheme with multi-platform, the hybrid co-evolution optimization model of adaptive platform was put forward. The Pareto front between commonality and performance was calculated by NSGA-II, with the derivatives parameters configuration under each commonality level was optimized by PSO in parallel. During the process, all parameter swarms were constrained by the commonality population to guarantee the parameters sharing consistency. The efficiency and effectiveness of the proposed approach was demonstrated by optimizing a family of three capacitor-run single-phase induction motors, and illustrated a good computational complexity.