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