Marine renewable energy

combining wave energy converters (WECs) and floating wind turbines (FWTs) into hybrid wave-wind energy converters (HWWECs)

garners significant global interest. HWWECs offer potential cost reductions

increased power generation

and enhanced system stability. The absorption power of high wind energy sites is primarily influenced by the complex hydrodynamic interactions among floating bodies

which are closely related to the location and wind-wave environment of high wind energy sites. To delve into the positive interactions among HWWECs

this paper proposes a HWWEC array optimization strategy based on the artificial ecosystem optimization-manta ray foraging optimization coordinated optimizer (EMCO). In EMCO

the decomposition operator of artificial ecosystem optimization (AEO) and the flipping-dipper foraging operator of manta ray foraging optimization coordinated (MRFO) cooperate dynamically to effectively balance local exploitation and global exploration. To validate the effectiveness of EMCO

experiments were conducted in scenarios with 3

5

8

and 20 HWWECs

and compared with five typical algorithms. Experimental results demonstrate the existence of multiple optimal solutions for HWWEC arrays. EMCO achieves maximum total absorption power and exhibits good stability. Notably

EMCO enhances the q -factor values of HWWECs across four scales: 1.0478

1.0586

1.0612

and 0.9965

respectively.