Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma
Timothy Gosling, Nanlin Jin, Edward P. K. Tsang · Northumbria Research Link (Northumbria University) · 2004
Axelrod’s originally experiments for evolving IPD player strategies involved the use of a basic GA. In this paper we examine how well a simple GA performs against the more recent Population Based Incremental Learning system under similar conditions. We find that while PBIL performs well, GA in general does slightly better although more experiments should be conducted