The paper submission deadline (28 July 2014) has passed with a pleasing number of submissions. Due to a number of requests, a one week "grace period" will be established from now on to 4 August --- the submission site will not be closed

until 4 August 2014 to allow new submissions, and earlier submissions

can also be revised and resubmitted.

THE 10TH INTERNATIONAL CONFERENCE ON SIMULATED EVOLUTION AND LEARNING

(SEAL 2014)

15-18 December 2014, Dunedin, New Zealand

http://seal2014.otago.ac.nz

1. Three Keynote speakers: Prof Xin Yao from University of Birmingham; Prof Kay Chen Tan from National University of Singapore; and Prof Zbigniew Michalewicz from University of Adelaide.

2. Three special sessions have been organised: (1) Evolutionary

Feature Reduction; (2) Evolutionary Machine Learning; and (3)

Evolutionary Scheduling and Combinatorial Optimisation.

3. Six (free) Tutorials have been accepted including Evolving and

Designing Neural Network Ensembles Effectively (by Professor Xin Yao),

How to develop a killer EC-based application? (by Professor Zbigniew

Michalewicz), Parameterized Complexity Analysis of Bio-Inspired

Computing (by Professor Frank Neumann), Evolutionary Multi-objective

and Many-Objective Optimisation (by Hernan Aguirre), Estimation of

Distribution Algorithms and Probabilistic Modelling in Evolutionary

Computation (by Marcus Gallagher), and (United Kingdom) - Monte Carlo

Tree Search and Evolutionary Enhancements (by Simon Lucas).

4. 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).

==================================

AIMS AND SCOPE

--------------

Evolution and learning are two fundamental forms of daptation. 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.

More details about the scope and themes can be seen from

http://seal2014.otago.ac.nz/cfps.html