The study demonstrates enhanced optimization performance in microgrid scheduling using a new algorithm, suggesting its effectiveness in complex engineering tasks.
Key Points
The aim is to improve the Catch Fish Optimization Algorithm to better tackle complex engineering optimization challenges.
Developed the Elite-Driven Reinforced Catch Fish Optimization Algorithm (EDR-CFOA)
Integrated three elite-based enhancement strategies for improved search and exploitation
Evaluated EDR-CFOA using CEC2020 and CEC2022 benchmark test suites
Conducted comparisons with eight other metaheuristic algorithms
EDR-CFOA achieved the lowest average rank across all test scenarios
Statistical tests confirmed significant superiority over competing algorithms
Demonstrated high solution accuracy and robustness in real-world engineering applications