2014 Tenth International Conference on Simulated Evolution And Learning (SEAL)

The topics of interest to this conference include but are not limited to: 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 between Evolutionary Learning and Other Learning Approaches Evolutionary Optimisation: Combinatorial Optimisation Numerical/Function Optimisation Hybrid Optimisation Algorithms Comparison of Algorithms Ant colony optimisation Particle swarm optimisation Memetic algorithms Simulated annealing Hybrid Learning: Evolutionary Artificial Neural Networks Evolutionary Fuzzy Systems Evolutionary Reinforcement Learning Evolutionary Clustering Evolutionary Decision Tree Learning Evolutionary Unsupervised Learning Genetic Programming Other Hybrid Learning Systems Developmental Processes Adaptive Systems: Complexity in Adaptive Systems Evolutionary Robotics Evolvable Hardware and Software Artificial Ecology Evolutionary Games Self-Repairing Systems Evolutionary Computation Techniques in Economics, Finance and Marketing 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