The Hunch Factor: Exploration into Using Fuzzy Logic to Model Intuition in Particle Swarm Optimization.
Stephany Coffman-Wolph · MAICS · 2015
Particle Swarm Optimization (PSO) is a powerful biologybased optimization search strategy. This paper explores the addition of intuition into the PSO algorithm to improve the speed and number of iterations required to find solutions to the problem. This intuition will be modeled using a fuzzy variable called the Hunch Factor. It will act as memory for the system and influence the choices of the algorithm. Thus, allowing the algorithm to make more human-like decisions. This paper is an early exploration into the hunch factor via several experiments of the hunch factor with a simple optimization problem.