- author = "Mario {Hevia Fajardo} and Per Kristian Lehre and Jamal Toutouh and Erik Hemberg and Una-May O'Reilly",
- title = "Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology",
- booktitle = "Genetic Programming Theory and Practice XX",
- year = "2023",
- editor = "Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu",
- series = "Genetic and Evolutionary Computation",
- pages = "19--44",
- address = "Michigan State University, USA",
- month = jun # " 1-3",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-981-99-8412-1",
-
DOI = "
doi:10.1007/978-981-99-8413-8_2",
- abstract = "Competitive coevolutionary algorithms are used to model adversarial dynamics. The diversity of the adversarial populations can be changed with a spatial topology. To achieve more clarity in how a spatial topology impacts performance and complexity we introduce a spatial topology to a pairwise dominance coevolutionary algorithm named PDCoEA. The new algorithm is called STPDCoEA. We use a methodology for consistent algorithm comparison to empirically study the impact of topology, problem, and mutation rates on the dynamics and payoffs in STPDCoEA. We compare records of multi-run dynamics on three problems and observe that the spatial topology impacts the performance and diversity.",
-
notes = "
Part of \cite{Hu:2023:GPTP} published after the workshop in 2024",
