David Sloan Wilson has been an advocate of group selection<http://www.nbb.cornell.edu/wkoenig/wicker/NB4340/Wilson&Wilson2008.pdf>in evolution for quite a while. (And I think he's right.) What I'd like to know is whether anyone knows of any work on group selection in a (computational) genetic algorithm context.
Suppose I wanted to evolve a fleet of cars for a car rental agency. One approach would be a genetic algorithm in which the population elements were fleets, each of which is a collection of cars. Crossover would generate children fleets some of whose cars were copied from each parent. In addition, I want to assume that the car properties themselves are evolvable. So one could, for example, crossover two cars to produce offspring cars with properties from the two parents. This has also been called multi-level selection because evolution takes place at multiple levels at once: in this case at the fleet level and at the car level simultaneously Is anyone aware of a framework that supports this sort of process? Or is anyone aware of any papers that describe results in this area? Thanks. -- Russ -- Russ Abbott ______________________________________ Professor, Computer Science California State University, Los Angeles cell: 310-621-3805 blog: http://russabbott.blogspot.com/ vita: http://sites.google.com/site/russabbott/ ______________________________________
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