Abstract
Genetic programming is an automatic programming
technique that evolves computer programs to solve, or
approximately solve, problems. This paper presents two
examples in which genetic programming creates a
computer program for controlling a robot so that the
robot moves to a specified destination point in minimal
time. In the first approach, genetic programming
evolves a computer program composed of ordinary
arithmetic operations and conditional operations to
implement a time-optimal control strategy. In the
second approach, genetic programming evolves the design
of an analog electrical circuit consisting of
transistors, diodes, resistors, and power supplies to
implement a near-optimal control strategy.
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