Center of Mass Encoding: A self-adaptive representation with adjustable redundancy for real-valued parameters
Abstract--- In this paper we describe a new class of representations for real-valued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adaptive, and it permits the choice of the degree of redundancy of the genotype-to-phenotype map and the choice of the distribution of the redundancy over the space of phenotypes. We first describe CoME and then proceed to test its performance and compare it with other representations and with a state-of-the-art evolution strategy. We show that CoME performs well on a large set of test functions. Furthermore, we show how CoME adapts the granularity of its discretization on functions defined over nonuniformly scaled domains.
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Keywords: CoME ; Center of Mass Encoding ; Genetic Encoding ; Genetic Algorithms ; Evolutionary Algorithms ; Redundant Representation ; Adaptive Representation ; Real Parameters ; Evolutionary Robotics
Record created on 2007-03-19, modified on 2016-08-08