With the growing determination of the international community to strengthen climate and environmental governance, and under the multiple drivers of China's ‘Double Carbon’ policy and marine power strategy, renewable energy is gradually replacing fossil fuels as a new type of power generation resource. Among these, wave energy generation has been extensively studied due to its abundant resources and environmental benefits. Compared to the low energy utilization efficiency of single wave energy generation systems, the hybrid wind-solar-wave system （HWSWS） can maximize multi-energy complementarity. Therefore, improving the efficiency and output of HWSWS is of profound significance. To fully leverage the advantages of wind, solar, and wave energy, this paper proposes an array layout optimization strategy of HWSWS based on the improved rime optimization algorithm （IRIME）. By integrating logistic chaotic mapping, golden sine strategy, and Lévy flight strategy, the original rime optimization algorithm （RIME） is improved. To validate the effectiveness of IRIME in optimizing HWSWS arrays, this paper performs optimizations on arrays at the five HWSWS and nine HWSWS scales. The simulation results show that the HWSWS optimized by IRIME achieves the maximum power output. Compared to RIME, particle swarm optimization （PSO）, grey wolf optimizer （GWO）, and aquila optimizer （AO）, the output power of the five HWSWS array increases by 36.2 kW, 83.3 kW, 27.6 kW, and 38.0 kW, respectively. Besides, the output power of the nine HWSWS array increases by 45.5 kW, 191.2 kW, 168.5 kW, and 66.5 kW, respectively, demonstrating the effectiveness and superiority of IRIME.