Published Paper Details:

As humans come across so many problems and try to solve these problems either using our past experiences or by getting advises from different experts. People tend to get their solutions by working upon different or new algorithms as well. Nature too has so many problems which it tends to solve on its own. This is the time to get inspired from nature and mimic the nature in order to solve our problems as nature has always been able to resolve all its problems successfully on its own. It is to understand the fact that how nature responds to its environment and how we as humans too need to do the same to achieve our goals as nature is for sure being the most successful in all its work naturally and dedicatedly on its own. Nature has always amazed us with its extraordinary outputs which people could not even think at some point of time and while researching get to know that how nature is dealing with different sort of conditions people are not even aware of since years. One of the nature inspired algorithm known as Honey bee mating optimization algorithm is taken into consideration in this paper. The mentioned nature inspired algorithm is merged with a metaheuristic greedy random adaptive search problem to solve the problem on scheduling the tasks in real world. This has been realized using some more algorithms namely, Tabu Search and Simulated Annealing as both of these are also nature inspired algorithms. All these algorithms have been explained in the initial sections of the paper. The merge of algorithms to achieve result is explained in later sections of the paper. The quality and the efficiency with respect to computational response are also explained in this paper with an example using sample data of the different types of tasks. The results achieved are quiet promising as compared to the other approaches used for similar kind of problems