Nature has been evolving for several hundred million years, and it has found various
ingenious solutions to problem-solving and adaption to ever-changing environments. From
Darwinian evolution point of view, survival of the fittest will result in the variations and
success of species, which can survive and optimally adapt to environments.
Nature-inspired algorithms are still at a very early stage with a relatively short history,
it has come up as a new era in comparing with many traditional methods; however, natureinspire algorithms have already shown their great potential, flexibility and efficiency with
ever-increasing diverse ranges of applications.
Nature is the best tutor and its designs and strengths are extremely massive and strange
that it gives inspiration to us to imitate nature to solve hard and complex problems in power
system. Different Algorithms are presented for solving power system optimization problems