Analysis of bio inspired Optimization Algorithms: ABC, FA and ABO based on the Travelling Salesman's

Engineering problems are becoming more and more complicated to solve as entire world is moving towards the industrialization. Increasing number of variables, dimensions and complex time and space made it more difficult to solve such problems. Similar to such problems nature is also complex, however insects, birds and animal survive in this intricate surrounding with the help of their unique qualities. Various insects or groups of animals seen in nature, such as ant colonies, bird flocks, bee swarms, and behavior of fish, could be used to address real-world problems. These solutions are called bio inspired optimization algorithm. This study focus on three mostly used bio inspired optimization algorithms artificial bee colony(ABC), firefly(FA) and African buffalo algorithm(ABO). In this study we have analyzed the results obtained by solving the travelling salesman problem using ABC, FA, and ABO algorithms.