  This paper makes a number of connections between life and various facets of
genetic and evolutionary algorithms research. Specifically, it addresses the
topics of adaptation, multiobjective optimization, decision making, deception,
and search operators, among others. It argues that human life, from birth to
death, is an adaptive or dynamic optimization problem where people are
continuously searching for happiness. More important, the paper speculates that
genetic algorithms can be used as a source of inspiration for helping people
make decisions in their everyday life.
