Abstract
This paper looks at the age-old problem of trying to
instil some degree of intelligence in computers.
Genetic Algorithms (GA) and Genetic Programming (GP)
are techniques that are used to evolve a solution to a
problem using processes that mimic natural evolution.
This paper reflects on the experience gained while
conducting research applying GA and GP to two quite
different problems: Medical Diagnosis and Robot Path
Planning. An observation is made that when these
algorithms are not applied correctly the computer
seemingly exhibits lazy behaviour, arriving at a
suboptimal solutions. Using examples, this paper shows
how this 'lazy' behaviour can be overcome.
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