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In silico experimental evolution: a tool to test evolutionary scenarios.

, , , , and . BMC Bioinform., 14 (S-15): S11 (2013)

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Multi-Robot Path-Planning Based on Implicit Cooperation in a Robotic Swarm., , and . Agents, page 39-46. ACM, (1998)Homologous and nonhomologous rearrangements: Interactions and effects on evolvability., , and . ECAL, page 622-629. MIT Press, (2011)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, , , , , , , , , and 42 other author(s). (2018)cite arxiv:1803.03453.Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?, , , , and . Biosyst., 102 (1): 32-40 (2010)ROSO: optimizing oligonucleotide probes for microarrays., , , , , and . Bioinform., 20 (2): 271-273 (2004)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities., , , , , , , , , and 43 other author(s). Artif. Life, 26 (2): 274-306 (2020)Weight-based search to find clusters around medians in subspaces., , , and . SAC, page 471-480. ACM, (2018)Importance of the Rearrangement Rates on the Organization of Genome Transcription., , and . ALIFE, page 479-486. MIT Press, (2010)Epigenetic inheritance speeds up evolution of artificial organisms., , and . ECAL, page 439-446. MIT Press, (2015)Integration of Information and Knowledge from the Engineering Activity to the Workshop Control., , and . ICRA (1), page 840-845. IEEE Computer Society Press, (1993)