Ecological governance and environmental protection are effective means to understand whether a region's political, economic, cultural and other elements are practiced, while art's involvement in the natural environment is a concrete manifestation of human spiritual civilization and economic foundation. In order to solve the shortcomings of the existing research on competition, cooperation and win-win of art development and natural protection environment, this paper discusses the competition and cooperation mode and natural environment, the combination of art field and environmental protection, and intelligent optimization algorithm, and investigates the neighborhood space evolution of intelligent optimization algorithm and experimental parameter setting. A win-win decision-making model of art development and natural protection environment based on intelligent optimization algorithm is established. The experimental data show that. The fitness value and optimal solution time of the corresponding solution of the co evolutionary hybrid optimization algorithm (CEPSO) proposed in this paper are 71.9 and 21.4 respectively. The algorithm has good performance.

Tingting Wang. The Development of Intelligent Optimization Algorithm Art and the Competition Cooperation and Win-win of Natural Protection Environment . Nature Environmental Protection (2022), Vol. 3, Issue 4: 69-77. https://doi.org/10.38007/NEP.2022.030408.

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