Ga Based Capacitor Placement for Voltage Optimization in 33-bus Radial Distribution System

Genetic Algorithms (GAs) are adaptive heuristic search algorithms based on the evolutionary ideas of natural selection and natural genetics. The coding and manipulation of search data is based upon the operation of genetic DNA and the selection process is derived from Darwin’s survival of the fittest’. Evolutionary computing was introduced in the 1960s by I. Rechenberg in his work “Evolution strategies”. His idea was then developed by other researchers. Genetic Algorithms (GAs) were invented by John Holland at the University of Michigan. This lead to Holland’s book “Adaptation in Natural and Artificial Systems” published in 1975. The goals of their research have been two fold: (1) to abstract and rigorously explain the adaptive processes of natural systems and (2) to design artificial systems software that retains the important mechanisms of natural systems. In 1992 John Koza has used genetic algorithm to evolve programs to perform certain tasks. He called this method “Genetic Programming” (GP).