[01] Anuradha , CSE&IT Dept., ITM University, Gurgaon, India. [02] Kshitiz Adlakha, CSE&IT Dept., ITM University, Gurgaon, India.

This paper presents an analysis done on ACO and FFA optimization algorithms. Optimization algorithms have been used successfully to solve various problems in different areas. These algorithms are considered an important part of Swarm Intelligence, which refers to the social interaction of swarms of ants, termites, bees, termites and flock of birds. The methods used for the comparison are Max-Min Ant System, Ant Colony System, Rank-based Ant System and various hybrids/modified firefly algorithms. ACO and FFA can be modified and hybridized to solve diverse engineering problems. In most cases, the results provided by these algorithms meet the expected output.

Ant, Firefly, ACO, Swarm Intelligence, Meta-Heuristic, Pheromone

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