Open AccessNeural Tau (Neuτ): Hinge-pin of Neural Augmented Ant Colony Optimization (NaACO) Technique
Author(s) -
Muhammad Umer,
Robiah Ahmad,
Amir Farhan
Publication year - 2022
Publication title -
international journal of neural networks and advanced applications
Language(s) - English
Resource type - Journals
ISSN - 2313-0563
DOI - 10.46300/91016.2022.9.1
Subject(s) - ant colony optimization algorithms , hinge , computer science , artificial neural network , scheduling (production processes) , ant colony , ant , artificial intelligence , neural system , engineering , mathematical optimization , neuroscience , biology , mathematics , structural engineering , computer network
In this paper we introduce and elaborate on the concept and application of Neural Tau (neuτ) which has become the hinge pin for the formulation of Neural Augmented Ant Colony Optimization (NaACO) in our previous research and publications. The concept of neuτ has been discussed in detail and it is compared with the concept of traditional or conventional pheromone upgradation function. The application of this entity through NaACO in various worker assignment and scheduling problems along with the areas of future research has been depicted.