- author = "Emily Dolson and Alexander Lalejini",
- title = "Reachability Analysis for Lexicase Selection via Community Assembly Graphs",
- 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 = "283--301",
- address = "Michigan State University, USA",
- month = jun # " 1-3",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, Lexicase selection, Eco-evolutionary theory, Multi-objective optimization",
- isbn13 = "978-981-99-8412-1",
-
DOI = "
doi:10.1007/978-981-99-8413-8_15",
- abstract = "Fitness landscapes have historically been a powerful tool for analysing the search space explored by evolutionary algorithms. In particular, they facilitate understanding how easily reachable an optimal solution is from a given starting point. However, simple fitness landscapes are inappropriate for analyzing the search space seen by selection schemes like lexicase selection in which the outcome of selection depends heavily on the current contents of the population (i.e. selection schemes with complex ecological dynamics). Here, we propose borrowing a tool from ecology to solve this problem: community assembly graphs. We demonstrate a simple proof-of-concept for this approach on an NK Landscape where we have perfect information. We then demonstrate that this approach can be successfully applied to a complex genetic programming problem. While further research is necessary to understand how to best use this tool, we believe it will be a valuable addition to our tool-kit and facilitate analyses that were previously impossible.",
-
notes = "
Part of \cite{Hu:2023:GPTP} published after the workshop in 2024",
