DocumentCode
2464574
Title
On Evolving Multi-Pheromone Ant Paintings
Author
Greenfield, Gary
Author_Institution
Richmond Univ., Richmond
fYear
0
fDate
0-0 0
Firstpage
2072
Lastpage
2078
Abstract
The use of swarm simulations and ant colony optimization methods for making abstract art has a brief but interesting history. We introduce some new techniques for evolving ant paintings using a non-interactive genetic algorithm. Key features of our virtual ant simulation model include: (1) the use of multiple pheromones, (2) the reliance on stigmergy to determine when an ant painting is finished, (3) ant interaction and exploration dynamics that lead to the formation of a background image and an overpainting, and (4) the design of a fitness function to guide the evolution of ant paintings subject to certain aesthetic goals. We show examples of our evolved ant paintings.
Keywords
genetic algorithms; virtual reality; aesthetic goals; ant colony optimization methods; exploration dynamics; fitness function; multipheromone ant paintings; noninteractive genetic algorithm; overpainting; stigmergy; swarm simulations; virtual ant simulation model; Ant colony optimization; Art; Bioinformatics; Evolutionary computation; Genetic algorithms; Genomics; History; Image processing; Painting; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688562
Filename
1688562
Link To Document