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Why the intelligent water drops cannot be considered as a novel algorithm

par Camacho Villalon, Christian ;Dorigo, Marco ;Stützle, Thomas
Référence Lecture notes in computer science, 11172 LNCS, page (302-314)
Publication Publié, 2018

Article révisé par les pairs

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Résumé :

In this paper we show that intelligent water drops (IWD), a swarm intelligence based approach to discrete optimization proposed by Shah-Hosseini in 2007, is a particular instantiation of the ant colony optimization (ACO) metaheuristic. To do so, in the paper, we identify the components of IWD and place them into the ACO metaheuristic framework. We show therefore that there was no need for a new natural metaphor. We also discuss that the proposed metaphor does not bring any novel insight into the algorithmic optimization process used by IWD.