Differential evolution for constrained industrial optimization

Abstract

This research deals with the constrained industrial optimization task, which is the optimization of technological parameters for the waste processing batch reactor. This paper provides a closer insight into the performance of connection between constrained optimization and different strategies of Differential Evolution (DE). Thus, the motivation behind this research is to explore and investigate the differences in performance of basic canonical strategies of DE as well as by the state of the art strategy, which is Success-History based Adaptive Differential Evolution (SHADE). The simple experiment has been carried out here and 30 times repeated. Consequences of different DE strategies performances are briefly discussed within conclusion section of this paper. © Springer International Publishing AG 2018.