This chapter introduces examples of nature-inspired algorithms presented by
authors in recent years. These algorithms all use the source of nature, and the nature
and behavior of some animals are the main basis of these algorithms. These
algorithms show the orderly behavior of some natural animals and show how this
targeted order becomes an algorithm. Understanding these algorithms can help the
reader understand how to transform the idea of nature into meaningful equations. We
present some examples of these algorithms in this chapter to familiarize the reader with
the order in some natural animals. Also, in this chapter, we can understand how to
transform this natural order into meaningful equations. These meaningful equations are
introduced in the form of an optimization algorithm. In this chapter, the algorithm
SSPCO that inspired by the behavior of See-see partridge chickens, SSPCO algorithm
based on chaotic population, data clustering using algorithm SSPCO algorithm, data
clustering with algorithm chaotic SSPCO, Solving the Travelling salesman problem
with the help of SSPCO algorithm, escape from hunter particle swarm optimization
algorithm and birds algorithm based on classical condition learning, provided. In this
chapter, we are going to introduce the reader to a number of algorithms presented and
published by the author of the book. We are going to understand how an idea becomes
a mathematical formula. Articles are available in the magazines which can be referred
to for additional details.
Keywords: Algorithm, Equations, Nature-inspired, Optimization, Order.
