A New OFNBee Method as an Example of Fuzzy Observance Applied for ABC Optimization

Abstract

The chapter includes a hybrid concept combining bee colony optimization with the application of Ordered Fuzzy Numbers. This is another research, after the OFNAnt method, prepared in AIRlab -Artificial Intelligence and Robotics Laboratory at Kazimierz Wielki University in Bydgoszcz, in which authors enriched metaheuristics by implementing the arithmetics of Ordered Fuzzy Numbers (OFNs). Applied fuzzy observation enabled very faithful modeling of the navigation mechanism used by bees when orienting with reference to the position of the sun. Experiments aimed at verification of the developed concept have been carried out on a set of several commonly known benchmarks. The preliminary results of experiments allow us to nurture grounded hope that further modifications of the metaheuristics using OFN arithmetics shall enable smooth control of the optimization criteria of the tested phenomena.

A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions

“…• modification of the Artificial Bee Colony (ABC) algorithm by application of Ordered Fuzzy Numbers (OFN) -OFNBee [19,20], or • Hybrid Fuzzy-Ant Colony optimization [21].…”

“…Since the results of combining OFNs with ABC optimization were quite promising [19,20], further exploration of this research direction (exploring hybrid optimization approaches) ensued. In this contribution, the behavior of a pig herd was selected as the nature-originating phenomenon.…”