Here is a PDF version of the call for papers.

Call for Papers:
The Tenth International Conference on Simulated Evolution And Learning (SEAL 2014)
15-18 December 2014, Dunedin, New Zealand

Hosted and Sponsored by:
Department of Information Science, University of Otago,
School of Engineering and Computer Science, Victoria University of Wellington

Aims and Scope

Evolution and learning are two fundamental forms of adaptation. SEAL 2014 is the tenth biennial conference in the highly successful series that aims at exploring these two forms of adaptation and their roles and interactions in adaptive systems. Cross-fertilization between evolutionary learning and other machine learning approaches, such as neural network learning, reinforcement learning, decision tree learning, fuzzy system learning, etc., will be strongly encouraged by the conference. The other major theme of the conference is optimization by evolutionary approaches or hybrid evolutionary approaches.

Conference Themes

The topics of interest to this conference include but are not limited to:

  1. 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

  2. Evolutionary Optimisation:
    • Combinatorial Optimisation
    • Numerical/Function Optimisation
    • Hybrid Optimisation Algorithms
    • Comparison of Algorithms
    • Ant colony optimisation
    • Particle swarm optimisation
    • Memetic algorithms
    • Simulated annealing

  3. 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

  4. 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

  5. Theoretical Issues in Evolutionary Computation:
    • Computational Complexity of Evolutionary Algorithms
    • Self-Adaptation in Evolutionary Algorithms
    • Convergence and Convergence Rate of Evolutionary Algorithms

  6. Real-World Applications of Evolutionary Computation Techniques


All accepted papers that are presented at the conference will be included in the conference proceedings, to be published in Lecture Notes in Computer Science (LNCS) by Springer. Selected papers will be invited for further revision and extension for possible publication in a special issue of two SCI journals after further review: Genetic Programming and Evolvable Machines (GPEM, springer, Impact Factor 1.333) and Soft Computing (Springer, Impact Factor 1.124).

Important Dates

14 July 2014 28 July 2014, extended and final deadline for submission of full papers (<=12 pages)
29 August 2014 2 September 2014, Notification of acceptance
16 September 2014, Deadline for camera-ready copies of accepted papers
15-18 December 2014, Conference sessions (including tutorials and workshops)