Fuzzy logic-based self-adaptive artificial bee colony algorithm
Sabreen Fawzi Raheem, Maytham Alabbas, Maytham Alabbas · AIP conference proceedings · 2023
We are presenting a dynamic technique for improving the basic artificial bee colony (ABC) algorithm performance using a fuzzy logic system termed DABCFL. It consists of an intelligent self-adaptive technique based on the expertise of humans to establish a fuzzy logic system to increase efficiency of the exploration and exploitation of the area by increasing or decreasing the size of population across cycles. This is done based on the values of three different population diversity measurements. Experiments are achieved on 20 widely used benchmark functions. The findings reveal that the DABCFL algorithm beats the basic ABC algorithm in all tests.