Application of shuffled frog-leaping algorithm in regional air pollution control

Abstract

Shuffled frog-leaping algorithm (SFLA), a memetic algorithm modeled on the foraging behavior of natural species called frogs. SFLA embeds the features of both particle swarm optimization (PSO) and shuffled complex evolution (SCE) algorithm. It is well documented in the literature that SFLA is an efficient algorithm to solve nontraditional optimization problems. In this study, SFLA has been applied to a real-world problem of air pollution control. The results are at par with the state of the art of algorithm.