Aims & Scope

Aims

AI-based technologies and AI-driven applications can have significant impacts in many areas in science, engineering, industrial, economics and many service sectors. Computational intelligence is at the core of algorithms and techniques that drive AI applications. Swarm intelligence and optimization are also becoming an essential part of the widely used techniques and methodologies for computational intelligence and AI research.

Journal of Computational Intelligence and Swarm Intelligence (JCISI) is a peer-reviewed, open-access journal that serves as a timely platform for researchers to report the latest research and developments, including high-quality original articles, new applications and case studies, efficient implementations, and survey articles in all areas of computational intelligence and swarm intelligence as well as multidisciplinary fields.

Journal of Computational Intelligence and Swarm Intelligence is published quarterly online by Scilight Press.

Scope

All topics in the general area of computational intelligence and swarm intelligence are welcome (but not limited to):

  • Algorithms and techniques in computational intelligence, swarm intelligence, artificial intelligence and explainable AI
  • Swarm intelligence, biology-inspired algorithms, evolutionary computation, nature-inspired algorithms, swarm AI, multi-agent systems, intelligent computing, cognitive computing and quantum computing
  • Hybrid algorithms, machine learning, artificial intelligence, neural networks, deep learning, new network structures and approaches
  • Theory and analysis of algorithms, numerical experiments, software tools, and statistical analysis.
  • Optimization and multi-objective optimization, discrete optimization, combinatorial optimization, multimodal and nonlinear optimization, and large-scale optimization  
  • Designs, case studies, implementations, good practice, industrial applications and real-world applications.
  • Distributed computing, edge computing, cloud computing, fog computing, and swarm computing.
  • Computational intelligence, computational biology, computational engineering, computational chemistry, computational linguistics, computational finance and economics, collective intelligence, and knowledge discovery
  • Surveys and comprehensive reviews of trends and state-of-the-art algorithms, methods, applications, and software tools.
  • Application areas include business intelligence, data science, engineering, energy, sustainability, power systems, data science, image processing, design optimization, mathematical modelling, advance simulation, information systems, internet of things, environmental modelling, communications, sensor networks, economics, robotics, mechatronics, swarm robotics, and many other multidisciplinary applications.