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