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PERFORMANCE ANALYSIS OF EBGWO ALGORITHM BASED ON BENCHMARK FUNCTION AND CREDIT RISK DATASET

Suihai Chen Dr, Computer Science and Information Technology,Universiti Malaysia Sarawak(UNIMAS), Sarawak, Borneo, Malaysia, 943000
Bong Chih How Professor, Computer Science and Information Technology,Universiti Malaysia Sarawak (UNIMAS), Sarawak, Borneo, Malaysia, 943000
Po Chan Chiu Professor, Computer Science and Information Technology, Universiti Malaysia Sarawak(UNIMAS), Sarawak, Borneo, Malaysia, 943000

Abstract

This study analyzes EBGWO algorithm, and uses 20 benchmark test functions, which are divided into single-peak and multi-peak functions to test algorithm performance, and cites WOA algorithm for in-depth analysis and comparison. The research involves benchmark function, discusses its development and exploration stage, and applies EBGWO algorithm to real credit risk data set for testing. The outcomes demonstrates that the EBGWO algorithm performs more comprehensively than GWO algorithm method.  

Keywords

EBGWO, Benchmark Test Functions, Risk Control Models, Optimization Algorithms,