In response to the problems of poor dynamic adaptability and difficulty in multi-objective optimization in ecological park planning and environmental art innovation research, this article used genetic algorithm (GA) to conduct relevant research and analysis. By constructing a model based on GA, five objective functions were designed, including environmental protection, resource utilization, aesthetic effects, economic costs, and sustainable development (SD). The effectiveness of the model was verified through specific experiments. The fitness value of the model can be used to evaluate its superiority or inferiority. The experimental results show that the optimized ecological park planning scheme has achieved significant results in all objectives. The fitness values of the five optimization objectives were 0.99, 0.97, 0.97, 0.94, and 0.92, and the overall fitness value was 0.965.
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