THE BUTTERFLY-PARTICLE SWARM OPTIMIZATION (BUTTERFLY-PSO/BF-PSO) TECHNIQUE AND ITS VARIABLES

The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm
Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all
optimization techniques. The proposed ‘Butterfly- Particle Swarm Optimization (Butterfly or BF-PSO)’ is
inspired by butterfly natural intelligence, character, behavior, intelligent network and intelligent
communication during the nectar search process. The BF-PSO introduces new parameters such as
sensitivity of butterfly (s), probability of food (nectar) (p), the degree of the node and the time varying
probability coefficient (α). These parameters improve the searching ability, excellent convergence and the
overall performance of the Butterfly-PSO effectivly. The BF-PSO optimizations results have been presented
for various functions with the multi-dimension problems.