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Simulating Morphological Evolution in Large Robot Populations

Published: 11 July 2015 Publication History

Abstract

Computational capacity and memory are limiting factors when simulating large numbers of robots with complex bodies: available physics engines struggle to handle more than a couple of dozens of complex robot bodies. This limits the possibilities of investigating the evolution of robot morphology to small populations with few generations. We present a method to simulate large evolving populations of robots with complex and varying morphologies. By simulating individual robots in parallel, we sacrifice the possibility of interaction between robots (other than to exchange genomes), but gain the opportunity to simulate substantial populations, not so much limited by the capabilities of the simulator itself as by the number of processors at our disposal.

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cover image ACM Conferences
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
July 2015
1568 pages
ISBN:9781450334884
DOI:10.1145/2739482
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 July 2015

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Author Tags

  1. artificial life
  2. evolutionary robotics
  3. morphological evolution

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GECCO '15
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