abstract = "This project uses the evolutionary process found in
Genetic Programming to evolve an improved decision
formula for the Ant System algorithm. Two such improved
formulae are discovered, one which uses the typical
roulette wheel selection found in all well-known Ant
Colony Optimization algorithms, and one which uses a
greedy-style selection mechanism. The evolution of each
formula is trained using the Ant System algorithm to
solve a small Traveling Salesman Problem (TSP) and
tested using larger unseen TSP instances.",
notes = "GECCO-2009 A joint meeting of the eighteenth
international conference on genetic algorithms
(ICGA-2009) and the fourteenth annual genetic
programming conference (GP-2009).