Multi-Objective Particle Swarm Optimisation for Alloy Toughness Design using a Fuzzy Predictive Model

Alloy design is a challenging multi-objective optimisation problem, which consists of finding the optimal processing parameters and the corresponding chemical compositions to achieve certain pre-defined mechanical properties of steels. In this paper, we combine fuzzy modelling and Particle Swarm Optimisation (PSO) to address the multi-objective optimal alloy design problem. An adaptive weighted PSO algorithm is introduced to improve the performance of the standard PSO. Based on the established impact toughness fuzzy prediction models, the proposed optimisation algorithm has been successfully applied to the optimal design of heat-treated alloy steels. The experimental results have shown that the algorithm can locate the constrained optimal solutions quickly and provide a useful and effective guide for alloy steels design.