Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling

Abstract

In this investigation, a cellular version of a recent spot-lighted metaheuristic called The Great Salmon Run TGSR algorithm is developed for evolving the architecture of Artificial Neural Network ANN. The main motivation behind the current research is to find out whether the proposed metaheuristic algorithm is able to cope with difficulties associated with designing an accurate and robust neural black-box identifier. To attest the applicability of the proposed method, the resulted strategy is applied to a real-life challenging identification problem, i.e. identifying the exhaust gas temperature T