Natural Computing - Springer | 2024 Impact Factor: 1.6 | Cite Score: 4.7 | Q3

About this Journal:
Natural Computing is a peer-reviewed international journal that focuses on the study, design, and application of computing processes inspired by natural systems.Natural Computing is a journal that explores both computational processes observed in nature and human-designed computing inspired by nature. Provides a platform for reporting on theory, experiments, and applications. Covers natural computing from a broad perspective, including evolutionary algorithms, neural networks, molecular computing, and quantum computing. Enhances understanding of both natural sciences and computer science. Offers valuable insights into research trends in an emerging specialty.
Publishes high-quality research on computational techniques modeled on biological, chemical, and physical processes found in nature.
Covers both theoretical foundations and practical implementations of natural computing paradigms.
Operated by Springer and includes contributions from computer science, mathematics, artificial intelligence, bio-inspired systems, and related disciplines.

Scope of the Journal:
Evolutionary computation, genetic algorithms, and genetic programming.
Neural networks, learning models, and brain-inspired computing methods.
Swarm intelligence, ant colony optimization, particle swarm optimization, and collective systems.
Quantum computing models inspired by natural phenomena.
Artificial life, cellular automata, and biologically motivated computing architectures.
DNA computing, molecular computing, and chemical reaction networks.
Emergent computation, self-organization, and adaptive complex systems.
Theoretical studies, algorithms, applications, and interdisciplinary approaches in natural computation.