Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing

  title={Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing},
  author={Matthew J. Berryman and Wei-Li Khoo and Hiep Nguyen and Erin O'Neill and Andrew Allison and Derek Abbott},
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper we use evolutionary computation to study the trade-off between pleiotropy and redundancy in a client-server based network. Pleiotropy is a term used to describe components that perform multiple tasks, while redundancy refers to multiple components performing one same task. Pleiotropy reduces cost but lacks robustness… CONTINUE READING
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