Memetic Computing features articles on high quality research in hybrid metaheuristics (including evolutionary hybrids) for optimization, control and design in continuous and discrete optimization domains. It goes beyond current search methodologies towards innovative research on the emergence of cultural artifacts such as game, trade and negotiation strategies and, more generally, rules of behavior as they apply to, for example, robotic, multi-agent and artificial life systems. Memetic Computing is an avenue for the latest results in natural computation, artificial intelligence, machine learning, operational research and natural sciences, which are combined in novel ways so as to transcend the intrinsic limitations of a single discipline.
| YEAR | Impact Factor |
|---|---|
| 2024-25 | 2.3 |
| 2023 | 3.3 |
| 2022 | 4.7 |
| 2021 | 3.577 |
Memetic Computing, 1865-9284, SPRINGER HEIDELBERG, Computer Science,Mathematics.