Optimisation of Process Parameters using the Hybrid Algorithm of Artificial Bee Colony and Fuzzy Logic Controller

Abstract

A hybrid Artificial Bee Colony (HABC) algorithm is proposed based on Fuzzy Inference System for solving fuzzy flexible real life optimisation problem. First, the Fuzzy Logic Control provides multiple parameters to an output of single parameter using the fuzzy logic membership function dependent on the input parameter characteristic and the fuzzy logic rules. Second, this single output from the fuzzy logic is optimised by ABC which utilises multiple strategies in a combined way to generate the initial solutions with certain quality. Third, the algorithm is verified in established set of data which demonstrated the effectiveness of the hybrid Algorithm