Fuzzy-based ant colony optimization algorithm
Assem Ahmed Alsawy, Hesham Ahmed Hefny · 2010
Due to the fact that the element of uncertainty, not only, exists, but also significantly affects system performance in many real-world applications. Therefore there is a need for finding powerful techniques to handle such situations. The main objective of this research is to introduce a new version of ant algorithm that can solve the problems, which contain uncertain information or imprecise data. To achieve this objective, the research integrates fuzzy logic and ant algorithm for better handling of such problems.