- Automated Algorithm Design, Configuration and Selection (AADCS)
- Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)
- CI Applications in Smart Grid (CIASG)
- CI for Brain Computer Interfaces (CIBCI)
- CI in Biometrics and Identity Management (CIBIM)
- CI in Big Data (CIBD)
- CI in Control and Automation (CICA)
- CI in Healthcare and E-health (CICARE)
- CI in Cyber Security (CICS)
- CI in Data Mining (CIDM)
- CI in Dynamic and Uncertain Environments (CIDUE)
- CI and Ensemble Learning (CIEL)
- CI for Engineering Solutions (CIES)
- CI for Financial Engineering and Economics (CIFEr)
- CI for Human-like Intelligence (CIHLI)
- CI in IoT and Smart Cities (CIIoT)
- CI for Industrial Process (CIIP)
- CI for Multimedia Signal and Vision Processing (CIMSIVP)
- CI in Remote Sensing (CIRS)
- CI for Security and Defense Applications (CISDA)
- CI in Vehicles and Transportation Systems (CIVTS)
- Deep Learning (DL)
- Evolving and Autonomous Learning Systems (EALS)
- Evolutionary Neural Architecture Search and Applications (ENASA)
- Evolutionary Scheduling and Combinatorial Optimization (ESCO)
- Ethical, Social and Legal Implications of Artificial Intelligence (ETHAI)
- CI in Feature Analysis, Selection and Learning in Image and Pattern Recognition (FASLIP)
- Foundations of CI (FOCI)
- Evolvable Systems (ICES)
- Immune Computation (IComputation)
- Intelligent Agents (IA)
- Intelligent Biomedical Data Analysis (IBDA)
- Multi-agent System Coordination and Optimization (MASCO)
- Model-Based Evolutionary Algorithms (MBEA)
- Multicriteria Decision-Making (MCDM)
- Nature-Inspired Computation in Engineering (NICE)
- Robotic Intelligence in Informationally Structured Space (RiiSS)
- Cooperative Metaheuristics (SCM)
- Differential Evolution (SDE)
- Swarm Intelligence Symposium (SIS)
Special Sessions
- Computational Intelligence and Cognitive Science (CIMEX)
- AI for Aerial Robotics (AIAR)
- AI in Autonomous Vehicles (AIAV)
- Computational Intelligence for Fault Detection and Isolation (CIFDI)
- Computational Intelligence for Robotics (CIR)
- Computing Intelligence in Scheduling and Optimization of Complex Systems (CISO)
- Computational Intelligent for Data Stream Analysis (CIDSA)
- Computational Intelligence in Power and Energy Systems (CIPES)
- Extreme Learning Machines (ELM)
- Intelligent Control with State Constraint (ICSC)
- Interactive Reinforcement Learning (IARL)
- Machine Learning for Knowledge-Based Systems (MLKBS)
- Randomized Algorithms for Training Neural Networks (RANN)