Aim and Scope

The Journal of Algorithms in Complex Systems (JACS) publishes high-quality original research on the design, analysis, and application of algorithms for complex systems. We welcome contributions across three core areas:

1. Theoretical Advances

Novel algorithms and theoretical foundations for complex systems, including graph algorithms, approximation algorithms, randomized algorithms, online algorithms, and complexity theory; advances in optimization techniques such as convex and non-convex optimization, evolutionary algorithms, and swarm intelligence; as well as efficient computation methods including parallel algorithms, distributed algorithms, and algorithmic techniques for high-dimensional and large-scale systems.

2. Algorithms for Complex Networks and Dynamics

Algorithms for modeling, analyzing, and controlling complex networks and dynamical systems; community detection, network embedding, influence maximization, and robustness analysis; algorithms for chaotic systems, nonlinear dynamics, multi-agent systems, and emergent behavior; as well as scalable methods for simulation and prediction in complex environments.

3. Application Advances

Applications that demonstrate methodological innovation or adaptation of algorithms in complex real-world systems, including but not limited to:

  • Computational biology and bioinformatics
  • Large-scale scientific computing and simulation
  • Transportation networks and urban systems
  • Financial networks and market modeling
  • Social networks and information diffusion
  • Robotics and autonomous systems
  • High-performance computing and big data algorithms

Article Types

We accept the following article types:

Original Research, Review, Mini Review, Short Communications, Commentary, Editorial, Research Highlight, Perspective.