Single- and Multi-Objective Optimization Frameworks of Shape Design of Tubular Linear Synchronous Motor

The shape design of the Tubular Linear Synchronous Motor (TLSM) is a critical engineeri ng optimization problem which was handled as single- and multi-objective frameworks. However, different practical constraints for TLSM must be efficiently guaranteed. This paper proposes developed to maximize operating force minimize flux saturation. In this regard, Multi-objective Grey Wolf Optimizer (MGWO) developed, including an outside archive with predetermined size that integrated storing retrieving Pareto optimal solutions. Using knowledge, grey wolf social structure would then established, and, in searching environments, hunting behavior replicated. superiority effectiveness MGWO assessed comparison Flower Pollination Algorithm (MFPA), Lichtenberg (MOLA), Grasshopper Optimization (MGOA). outcomes illustrate provides average improvement 73.46%, 19.07%, 15.15% compared MFPA, MOLA, MGOA, respectively. validation extended form welded beam (WBD) by simultaneously minimizing deflection manufacturing costs. Similar findings are obtained reference points, 2.8%, 0.7%, 3.04%