The evolving complexityComplexity of Cyber-Physical SystemsCyber-physical systems (CPS) requires innovative approaches to enhance system resilienceResilience against potential cyber threats, such as Denial-of-ServiceService (DoS) attacks. This study introduces BiOp-CPS, a bio-inspired optimization framework leveraging bipartite networks to redesign power grids for improved performance and robustnessRobustness. The methodology includes analyzing the WSCC 9-bus system under traditional and bio-inspired redesigns. Key network metrics adopted from the ecological analysis of food webs, such as modularityModularity, nestedness, and bipartite robustnessRobustness, are used to quantify the system's ability to resist and recover from Denial-of-ServiceService cyber-attacks. The results find that the bio-inspired redesigns outperform the traditional design regarding system resilienceResilience by reducing modularityModularity while increasing nestedness and robustnessRobustness, thereby demonstrating the potential of adopting system inspiration from biological ecosystems in CPS design and optimization. The findings suggest that further explorations of bio-inspired frameworks for CPS could provide valuable strategies for enhancing the resilienceResilience of power grid systems and related cyber-physical infrastructures.