[11] used the large-scale optimization problem based on human EEG signal processing to benchmark the performance of three cross operators of the NSGA-III algorithm. By introducing the concept of study and designing several improved crossover operators of SBX, UC, and SI, an enhanced version of the NSGA-III algorithm is proposed. [PERSON] et al. [12] designed a hybrid multi-objective particle swarm optimization (HMaPSO) algorithm to solve the established multi-objective optimization model, tested the HMaPSO algorithm on the DTLZ function, and applied the HMaPSO algorithm to solve the multi-objective green coal production optimization model to maximize the use of resources. [PERSON] [13] analyzed the donor contributions under different emergency resource allocation policies and how to choose the optimal emergency resource allocation policy from the government's point of view, provided the necessary proofs for the theoretical solutions derived from each part, and drew the corresponding conclusions. [PERSON] [14] et al. addressed the problems of the low efficiency and low precision of resource allocation in current grid resource allocation management, and proposed a grid resource allocation management algorithm based on an optimal multi-task objective decision allocation management algorithm, which makes the resource allocation method smoother and effectively improves the resource allocation efficiency. [PERSON] [15] et al. proposed a permutation-based model to analyze the overhead constraints of disordered resources and applied the proposed permutation-based model to resource allocation analysis. [PERSON] [16] et al. used evolutionary game theory simulations to explore the role and applicability of various resources by exposing their constrained situations in different stabilities of allocation. [PERSON] [17] et al. developed a resource allocation optimization problem for distributed decision making to obtain the optimal resource allocation strategy by finding a Nash equilibrium (NE) strategy with an improved best response dynamic (IBSD) algorithm. [PERSON] [18] et al. proposed an optimization model for the multi-cycle allocation of emergency resources based on regional self-help and cross-regional collaborative rescue efforts by combining inter-domain and neighboring inter-zone allocation principles to achieve optimal, multi-cycle, cross-regional resource allocation. When resource allocation involves multi-objective function optimization, multiple heuristic algorithms are often used to solve the problem. [PERSON] [19] et al. constructed a dynamic activity group GRA to generate multiple resource allocation schemes by rearranging the order of activities within the group to find the best robust scheme from the solution space. [PERSON] [20] et al. proposed a self-guided multi-objective culture genetic algorithm with an elite exploitation strategy (S-SANSGA-II), using a simulated annealing operator with Gaussian probability density function introduced into the algorithm as a local search operator, and designed an acceptance strategy based on the variance of the crowding distance. [PERSON] [21] et al. conducted a resource optimization design and performance analysis for load-balancing adaptation, fragmentation suppression, and low-crosstalk resource allocation algorithms in air-division multiplexed elastic optical networks. [PERSON] [22] et al. established an ant colony algorithm-based resource allocation model for a TDMA satellite communication system, and used MATLAB software to simulate and verify the resource allocation method, which improved the resource allocation algorithm's optimization capability and had certain reference value. [PERSON] [23] et al. proposed a heuristic algorithm to solve the scheduling plan with the shortest duration, design a dynamic resource weight calculation method, and conduct experiments on cases with different parameter settings. The results show that the new algorithm has obvious advantages compared with the random resource allocation algorithm and static resource weight algorithm.