Evolution of food foraging strategies for the
Caribbean Anolis lizard using genetic programming
Adaptive Behavior, 1 (2):
171--199 (1992)Abstract
This article describes the recently developed genetic
programming paradigm that genetically breeds a
population of computer programs to solve problems. The
article then demonstrates, step by step, how to apply
genetic programming to a problem of behavioral ecology
in biology--specifically, two versions of the problem
of finding an optimal food- foraging strategy for the
Caribbean Anolis lizard. A simulation of the adaptive
behavior of the lizard is required to evaluate each
possible adaptive control strategy considered for the
lizard. The foraging strategy produced by genetic
programming is close to the mathematical solution for
the one version for which the solution is known and
appears to be a reasonable approximation of the
solution for the second version of the problem.
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