Monarch Migration Algorithm for optimization problems

In this work, we intend to formulate a new metaheuristic algorithm, called Monarch Migration Algorithm (MMA), for solving optimization problems. This algorithm is based on the migratory behavior of the monarch butterflies. We validate the proposed algorithm against various unimodal and multi-modal test functions. The performance of the proposed algorithm is also compared with the performance of standard swarm intelligence based metaheuristic algorithms. Numerical studies and results suggest that the proposed algorithm is highly efficient for different types of optimization problems. Possible topics for further research are also discussed.