Algorithm portfolio methods operate in problem domains for which there are multiple algorithms with complementary strengths. The portfolio method applies patterns learned from experience to better allocate computational resources among the algorithms, attempting to apply each algorithm primarily to those problem instances to which it is best suited. Applications of the methods developed in this work include SAT and answer set programming.