Temporal Design of Art Painting Landscape Based on Ant Colony Optimization Algorithm

Abstract

Abstract In the long history of painting, art research in each period will also reflect on the current situation and future improvement. Inspired by the group behavior of natural insect communities, to find the shortest path between insect nests and food, a simulated evolutionary algorithm ant colony algorithm is proposed to simulate the foraging behavior of natural ant colonies. This paper studies the temporal design based on ant colony optimization algorithm. Time is an inseparable part of landscape design. With the continuous progress of time, various landscape characteristics have also been formed. The purpose of this paper is to provide theoretical and practical support for the improvement of art painting landscape design from the perspective of time. The ant colony optimization algorithm is used to analyze and analyze the values of the algorithm parameters.