The scope of the Soft Computing Conference includes:

    Innovation and Theory

    Genetic Algorithms
    Genetic Programming
    Grammatical Evolution
    Differential Evolution
    Evolutionary Strategies
    Hybrid and Distributed Algorithms
    Probabilistic Metaheuristic
    Swarm Inteligence, Ant Colonies
    Neural Networks
    Self-Organization
    Deep Learning
    Evolvable Hardware, Chemical Evolution
    Fuzzy Logic, Bayesian methods
    Simulation-based Optimization
    Artificial Life
    Chaos, Complexity, Fractals
    Image Processing, Computer Vision
    Mathematical Optimization
    Stochastic Optimization

    Top Realated Applications

    Optimization
    Control Design
    Intelligent Robotics
    Evolvable Hardware
    Nonlinear Programming
    Modeling and Simulation
    Artificial Inteligence
    System Identification
    Image Processing
    Signal Processing
    Machine Learning
    Deep Learning
    Scheduling Algorithms
    Motion Planning
    AI & Games
    Decision-making
    Computer Science
    Business Analytics
    Process Industry

The Main Conference Sessions include

    Evolutionary Computing Techniques
    Swarm Intelligence and Multi-agent Systems
    Mathematical and Metaheuristic Optimization Algorithms
    Artificial Neural Networks, Deep Learning, Machine Learning
    Intelligent Control, Bio-Inspired Robotics, Path Planning
    Intelligent Image Processing, Computer Vision
    Chaos Theory, Fractals, Self-organization
    Fuzzy Sets and Systems, Bayesian Methods
    Advanced Statistics, Data Mining