Coevolution and the Red Queen effect shape virtual plants

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Ebner:2006:GPEM,

• author = "Marc Ebner",
• title = "Coevolution and the Red Queen effect shape virtual plants",
• journal = "Genetic Programming and Evolvable Machines",
• year = "2006",
• volume = "7",
• number = "1",
• pages = "103--123",
• month = mar,
• keywords = "genetic algorithms, genetic programming, Red Queen effect, Coevolution, Lindenmayer systems, Artificial plants",
• ISSN = "1389-2576",
• DOI = "doi:10.1007/s10710-006-7013-2",
• size = "21 pages",
• abstract = "According to the Red Queen hypothesis a population of individuals may be improving some trait even though fitness remains constant. We have tested this hypothesis using a population of virtual plants. The plants have to compete with each other for virtual sunlight. Plants are modelled using Lindenmayer systems and rendered with OpenGL. Reproductive success of a plant depends on the amount of virtual light received as well as on the structural complexity of the plant. We experiment with two different modes of evaluation. In one experiment, plants are evaluated in isolation, while in other experiments plants are evaluated using coevolution. When using coevolution plants have to compete with each other for sunlight inside the same environment. Coevolution produces much thinner and taller plants in comparison to bush-like plants which are obtained when plants are evaluated in isolation. The presence of other individuals leads to an evolutionary arms race. Because plants are evaluated inside the same environment, the leaves of one plant may be shadowed by other plants. In an attempt to gain more sunlight, plants grow higher and higher. The Red Queen effect was observed when individuals of a single population were coevolving.",
• notes = "L-Systems p103 'continued opened evolution'. Plants grow near parents on 2-D surface. Multiple genetic operations. Z-buffer rendering light gives (part of) fitness, other part from resources to grow plant. P112 Perlin noise 1998.",

}

Genetic Programming entries for Marc Ebner

Citations