The 2017 International Conference on Simulated Evolution and Learning

Evolutionary Learning:

• Fundamental Issues in Evolutionary Learning

• Co-Evolutionary Learning

• Modular Evolutionary Learning Systems

• Classifier System

• Collective Intelligence

• Representation Issues in Evolutionary Learning

• Artificial Immune Systems

• Interactions Between Learning and Evolution

• Credit Assignment

• Swarm Intelligence

• Comparison Studies on Evolutionary Learning Algorithms

Evolutionary Optimisation:

• Combinatorial Optimisation

• Numerical/Function Optimisation

• Hybrid Optimisation Algorithms

• Simulated annealing

• Comparison of Algorithms

• Ant colony optimisation

• Particle swarm optimisation

• Brain Storm Optimization

• Fireworks Algorithms

• Memetic algorithms

Hybrid Learning:

• Evolutionary Artificial Neural Networks

• Evolutionary Fuzzy Systems

• Evolutionary Reinforcement Learning

• Evolutionary Clustering

• Evolutionary Decision Tree Learning

• Evolutionary Unsupervised Learning

• Evolutionary Computation

• Other Hybrid Learning Systems

• Developmental Processes

• Developmental Swarm Intelligence

Adaptive Systems:

• Complexity in Adaptive Systems

• Evolutionary Robotics

• Evolvable Hardware and Software

• Evolutionary Games

• Self-Repairing Systems

• Artificial Ecology

Theoretical Issues in Evolutionary Computation:

• Computational Complexity of Evolutionary Algorithms

• Self-Adaptation in Evolutionary Algorithms

• Convergence and Convergence Rate of Evolutionary Algorithms

Real-World Applications of Evolutionary Computation Techniques