Improved Barnacle Mating Optimizer-Based Least Square Support Vector Machine to Predict COVID-19 Confirmed Cases with Total Vaccination

Abstract Every country must have an accurate and efficient forecasting model to avoid manage the epidemic. This paper suggests upgrade one of evolutionary algorithms inspired by nature, Barnacle Mating Optimizer (BMO). First, exploration phase original BMO is enhanced enforcing replacing sperm cast equation through Levy flight. Then, Least Square Support Vector Machine (LSSVM) partnered with improved (IBMO). hybrid approach, IBMO-LSSVM, has been deployed effectively for time-series enhance RBF kernel-based LSSVM since vaccination started against COVID-19 in Malaysia. In comparison other well-known algorithms, our outcomes are superior. addition, IBMO assessed on 19 conventional benchmarks IEEE Congress Evolutionary Computation Benchmark Test Functions (CECC06, 2019 Competition). most cases, outputs better than algorithms. However, circumstances, comparable.