Ranked Hunger Games Search Algorithms with Gaussian Distribution-based Fitness Distance Balance Strategy
Yanting Liu, Jiayi Li, Junyan Yi, Chuan Zheng Zhu, Zhe Xu · 2021
Fitness-Distance Balance with Functional Weights (FW) is a new and improved selection method based on Fitness-Distance Balance (FDB). FDB can be used to solve the problem of premature convergence. And FW further improves the performance of FDB selection strategy by changing the weights in FDB from fixed values to randomly generated using distribution functions. Hunger Games Search (HGS) is a meta-heuristic algorithm created inspired by animal hunger behavior. HGS algorithm can get good performance when tested on various problems. But the HGS algorithm still has the problem of premature convergence and easily falls into local search. Therefore, we incorporate the FW selection strategy into the HGS algorithm and propose the FWHGS. and tested on the IEEE CEC2017 benchmark function, which has a great improvement compared to the HGS algorithm.