  This paper introduces Gene-Machine, an efficient and new search heuristic
algorithm, based in the building-block hypothesis. It is inspired by natural
evolution, but does not use some of the concepts present in genetic algorithms
like population, mutation and generation. This heuristic exhibits good
performance in comparison with genetic algorithms, and can be used to generate
useful solutions to optimization and search problems.
