ABSTRACT
The evolutionary computational techniques initiated by Fraser, Bremermann, and Reed in the 1950s [1] and developed by Lawrence Fogel [2] are bio-inspired methodologies that address combinatorial optimization problems. There are a host of techniques in this category, which include particle swarm, ant colony, genetic algorithms (GAs), and artificial intelligence, which learn or adapt to new situations, generalize, abstract, discover, and associate.
