Research & analysis of advancements in BAT algorithm

Optimization is defined as finding the alternate solutions to a problem, under the given constraints. Maximizing the performance level is one of the objectives of optimization, which can be achieved by satisfying desirable factors and minimizing the undesirable ones. When a problem cannot be solved in polynomial time or consumes long time to solve, then alternative solutions of the problem will be explored and near optimal solution is accepted. To tackle these types of problems, one of the three approaches are used: Heuristics, Meta-Heuristics and Hyper-Heuristics. BAT algorithm is one of the meta-heuristic algorithms, which optimizes the solution using echolocation and applicable in solving various combinatorial problems. In this research work, analysis of various BAT variants is done and further research areas are explored, in the field of meta-heuristic approaches.