Comment and improvement on “A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example”

作者:

Highlights:

摘要

A new Fruit Fly Optimization Algorithm (FOA) has been introduced in a recent paper published in Knowledge-Based Systems by Pan (2012) [1], which is much simpler and more robust compared with the normal optimization algorithm such as genetic algorithm, ant colony optimization and particle swarm optimization. However, it is found that a improvement is required, the smell concentration judgment value S is non-negative in Ref. [1], which will restrict the application of FOA in some problem, an improvement is proposed in this letter, comparison between the traditional FOA and the improved FOA have been done by simulation, results show the effectiveness of the improved algorithm.

论文关键词:Fruit Fly Optimization Algorithm,Optimization problem,Genetic algorithm,Ant colony optimization,Particle swarm optimization

论文评审过程:Received 14 October 2013, Accepted 12 January 2014, Available online 19 January 2014.

论文官网地址:https://doi.org/10.1016/j.knosys.2014.01.010