A Multi-Objective Optimization Algorithm-Based Approach And Research On Enterprise Level Professional Resource Allocation In The Power Industry

At present, China's power industry is still dominated by coal-based power generation, and the energy system of power companies is facing a huge challenge to reduce costs under the strategic requirement of energy conservation and emission reduction. The power industry is the largest non-sustainable energy source and the pillar industry supporting the development of terminal electrification. Therefore, optimizing the resource allocation of the power industry in the process of achieving low-cost energy conversion can reduce both the production cost and the carbon dioxide emission of the enterprises and reduce environmental pollution. The multi-objective optimization algorithm is then applied to the resource allocation of the electric power industry in an attempt to improve the efficiency of resource allocation in the electric power industry, and finally the algorithm is compared experimentally with other algorithms, and the evidence shows the efficiency of this algorithm relative to the extant algorithms. Among them, the multi-objective optimization algorithm based on the multi-objective optimization algorithm can help companies to save 11.8% of electricity costs, therefore, the multi-objective optimization algorithm based on the power industry professional resource allocation method is very worthy of research technology.