The invention provides a parallel configurable intelligent optimization method based on a collaborative optimization strategy, and the method comprises the following steps: 1, building an MDO optimization problem according to requirements, and determining an optimization model and a system-level optimization model; 2, determining parameters of an adaptive hybrid optimization method according to aspecific optimization problem; 3, converting and optimizing an objective function based on a penalty function method; 4, distributing an initial value to the subsystem level by the system level, carrying out subsystem level optimization by the subsystem by adopting a conventional numerical method, and returning an optimization result of the subsystem level to the system level; 5, comparing to obtain the difference between the subject optimization solution and the system-level optimization solution, calculating a penalty factor, and reconstructing a system-level optimization model; 6, performing system-level optimization coordination and solution by adopting a hybrid intelligent method; 7, judging convergence. According to the invention, a complex product engineering digitization and networking design optimization system is perfected, the application space of collaborative optimization and intelligent optimization methods in the field of design optimization is expanded, and the design quality and design efficiency of products are effectively improved.