Fuzzy Black Holes Algorithm

Mostafa Nemati, Reza Salimi, Behdad Moshref,

IAES International Journal of Artificial Intelligence (IJ-AI), Vol 3, No 1: March 2014 , pp. 49-55

Abstract

In this paper fuzzy version for black holes algorithm is proposed. The main idea of this article is based upon this principle that we should consider the distance between two black holes for calculating gravitational force (global search) and electrical force (local search). For this purpose, we have suggested Fuzzy distance notion. In this proposed idea, for calculating two forces, FQ and FG, considering the distance between black holes, we have defined a Fuzzy function, which receives distance value and depending on this value being low or high, produces a membership degree for gravitational and electrical constants to be used in the formulas related to the calculation of FG and FQ. The proposed method is verified using several benchmark problems used in the area of optimization. The experimental results on different benchmarks show that the performance of the proposed algorithm is better than basic BLA (Black holes Algorithm) and FPSO (fuzzy Particle Swarms Optimization).

Fuzzy set;Fuzzy distance;Black Holes algorithm;Local and global search;Gravity and electrical forces