Air pollution emissions control using shuffled frog leaping algorithm

Shuffled frog leaping (SFL) algorithm is a recently introduced metaheuristic which mimics the foraging process of frogs. SFL performs exploration as well as exploitation. In SFL algorithm the colony of frogs is divided into several memeplexes. In each memeplexes frog perform independent social cooperative local search and in later stages this information is shared among memeplexes. The process of sharing the information is shuffling process. SFL has been successfully applied to solve various real world optimization problems. In the present study SFL algorithm is implemented on a very interesting and challenging issue of optimization of Air pollution emissions using different control technologies. The nature of the problem is mixed integer linear programming problem. To further validate the efficacy of the algorithm shipping problem is also solved. The simulated results demonstrate the effectiveness of SFL algorithm.