A Hybrid Firefly Algorithm to Test High Dimensional Optimization Problems
This paper proposes a new firefly based hybrid algorithm to solve unconstrained optimization problems. Firefly
algorithm is integrated with bacterial foraging to develop a high performance computing algorithm. Two types of test
functions, namely unimodal and multi-modal are considered to validate the hybrid proposition. The results obtained are
compared with the parent as well as some standard and latest heuristics reported in the literature. The results show great
promise for the hybrid algorithm developed. The hybrid algorithm proposed can further be applied to solve several
practically useful problems of system theory and control using a unified delta operator framework.
Keywords - Hybrid Firefly Algorithm (HFA)