In the family of Intelligent Transportation Systems (ITS), Multimodal
Tr...
The current paper shows the multi-agents capabilities to make a valid an...
The goal of Machine Learning to automatically learn from data, extract
k...
The current work describes an empirical study conducted in order to
inve...
A well known N P-hard problem called the Generalized Traveling Salesman
...
Packing problems are in general NP-hard, even for simple cases. Since no...
The Matrix Bandwidth Minimization Problem (MBMP) seeks for a simultaneou...
In this paper it is introduced a biobjective ant algorithm for construct...
The idea of sensitivity in ant colony systems has been exploited in hybr...
Ant-based algorithms are successful tools for solving complex problems. ...
The evolution of the human society raises more and more difficult endeav...
The current paper introduces a new parallel computing technique based on...
The Generalized Traveling Salesman Problem (GTSP) is one of the NP-hard
...