Quantum Behaved Fruit Fly Optimization Algorithm for Continuous Function Optimization Problems

摘要

In this paper, we study the fruit fly in the fruit fly optimization algorithm (FOA) system moving in a quantum multi-dimensional space and propose a quantum behaved fruit fly optimization algorithm (QFOA) for the continuous function optimization problem. Computational experiments and comparisons are carried out based on a set of benchmark functions. The computational results show the advantage of QFOA to the original FOA.