Differential Evolution and Its Application in Identification of Virus Release Location in a Sewer Line

Abstract

Differential Evolution is a stochastic, population-based optimization algorithm for solving the nonlinear optimization problems. The algorithm was introduced by Storn and Price (Minimizing thereal functions of the ICEC 1996 contest by differential evolution. In: Proceedings of IEEE international conference on evolutionary computation, pp 842–844). Later, the algorithm was explored, and problem specific modifications have been done by many researchers. The beauty of this meta-heuristic optimization algorithm is that the optimization search can be made to be bounded, global as well as local search by changing the parameters of the algorithm. This chapter gives the basic idea behind the origin of this technique and its recent advancements. The algorithm is then applied for identification of unknown virus release locations in an underground sewer line.