This paper presents the concepts of three evolutionary algorithms i.e, ant colony optimization and particle swarm
optimization algorithm. An evolutionary algorithm copies the way how evolution occurs in the nature. There are
various types of evolutionary algorithms. This paper focuses on ACO and PSO algorithms. ACO provides solution to
various optimization problems. It follows the principle of survival of the fittest. Various problems such as knapsack
problem, TSP(travelling salesman problem) can be solved using genetic algorithm. Ant colony optimization is a
heuristic algorithm which follows the behaviour of ants i.e., the way ants seek food in their environment by starting
from their nest. Particle swarm optimization algorithm (PSO) is also an optimization algorithm which also uses a
method of searching using some heuristics.
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