An improved grasshopper optimization algorithm with application to financial stress prediction

This study proposed an improved grasshopper optimization algorithm (GOA) for continuous optimization and applied it successfully to the financial stress prediction problem. GOA is a recently proposed metaheuristic algorithm inspired by the swarming behavior of grasshoppers. This algorithm is proved...

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Bibliographic Details

Published in:	Applied Mathematical Modelling Vol. 64; p. 654
Main Authors:	Luo, Jie, Chen, Huiling, Zhang, Qian, Xu, Yueting, Huang, Hui, Zhao, Xuehua
Format:	Journal Article
Language:	English
Published:	New York Elsevier BV 01.12.2018
Subjects:	Algorithms Exploration Heuristic methods Learning Mathematical models Neural networks Normal distribution Optimization Parameter optimization Performance prediction Searching Solution space Stresses Swarming
ISSN:	1088-8691, 0307-904X
Online Access:	Get full text
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