Enzyme action optimizer: a novel bio-inspired optimization algorithm
University of Jordan · Sheffield Hallam University · +5 more institutions
Abstract
This paper presents the enzyme action optimization (EAO) algorithm, a novel bio-inspired optimization algorithm designed to simulate the adaptive enzyme mechanism in biological systems. EAO employs a novel strategy that dynamically balances between exploration and exploitation to efficiently navigate and optimize complex, multi-dimensional search spaces. EAO has been tested over diverse benchmark datasets, including the 23 classical benchmark functions, IEEE CEC2017, CEC2022 benchmark functions, where it has been compared with 14 recent and highly cited optimizers. The results show the superior performance of EAO over the compared optimizers in terms of finding the optimal solution, convergence speed,…
Citation impact
- FWCI
- 94.42
- Percentile
- 100%
- References
- 60
Authors
5Topics & keywords
- Computer science
- Action (physics)
- Optimization algorithm
- Mathematical optimization
- Algorithm
- Mathematics