Researchers have developed the Coronavirus Optimization Algorithm (COA), a novel evolutionary framework inspired by SARS-CoV-2 mechanisms for global optimization tasks. This algorithm maps biological processes to search operators, incorporating elements like elite-guided attraction and adaptive parameter variation. COA was evaluated against 15 other optimizers on 29 benchmark functions, achieving the best overall Friedman rank and demonstrating strong performance, particularly on composition functions. AI
IMPACT This novel optimization algorithm, inspired by biological mechanisms, could offer new approaches for complex problem-solving in various computational fields.
RANK_REASON The cluster contains a research paper detailing a new algorithm.
Read on arXiv cs.NE (Neural & Evolutionary) →
- CEC 2017
- SARS-CoV-2
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Friedman
- Gotit.pub
- Hugging Face
- Influence Flower
- ScienceCast
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