The design of metal plate hysteretic energy dissipators (MPHED) is essential to improving structural resistance to dynamic loads, especially in seismic events. However, their design is based on empirical approximations without adequate optimization. This research proposes a multi-objective optimization (MOO) methodology to improve the performance of these devices, focusing on maximizing energy dissipation, minimizing residual deformation, and reducing structural weight. The study employs a computational approach based on evolutionary algorithms to generate optimal configurations, validated by finite element analysis (FEM) under cyclic loading conditions. Different geometric relationships and drilling patterns are explored, allowing the identification of key trends for the development of more efficient and adaptable dissipators. In addition, the concept of topological and biomimetic optimization opens new possibilities in the evolution of its design. The expected results include an optimized methodology for designing MPHED, reducing the need for experimental testing and providing a solid theoretical framework for generating innovative geometries with high structural performance. This research will contribute to developing lighter, stronger, and more sustainable dissipators with applications in seismic engineering and industrial structures.