IDEAL 07 Special Session

Neural-evolutionary Fusion Algorithms and their Applications

The fields of bio-inspired optimization algorithms, mainly evolutionary algorithms and neural networks, have been historically related. They form part of a wider field known as soft computing techniques, which have deserved the attention of researchers and practitioners for solving many difficult problems. In the last few years, there has been an increasing interest in obtaining algorithms by mixing these two computational paradigms, forming hybrid approaches which have the best of both techniques.

This special session on neural-evolutionary fusion will provide a common forum for researchers and practitioners interested in algorithms involving evolutionary computation and neural networks together to exchange their ideas and report their latest findings.

Topics of Interest

Topics include (but are not limited to):

  • Fusion of bio-inspired optimization algorithms with neural techniques
  • Hybrid algorithms involving neural networks and evolutionary approaches
  • Hybridization of neural networks with meta-heuristics
  • Evolutionary training of neural network ensembles
  • Support Vector Machines within evolutionary algorithms
  • Hybrid Kernel methods and evolutionary algorithms
  • Applications in Science and Engineering problems.

Dates

Paper submission: July 27th 2007
Acceptance notification: August 15th 2007
Camera-ready deadline: September 14th 2007

Papers should be submitted to the organizers: Dr. Sancho Salcedo-Sanz (sancho.salcedo@uah.es) or Dr. Jose A. Portilla Figueras (antonio.portilla@uah.es). All papers will be peer-reviewed.

Accepted Papers

id07-223 Saw-tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks in ICA
id07-224 Using a genetic algorithm for editing k-nearest neighbors classifiers Topology Verification
id07-225 An Evolution of Geometric Structures Algorithm for the Automatic Classification of HRR Radar Targets
id07-226 Hybrid Cross-Entropy Method/Hopfield Neural Network for Combinatorial Optimization Problems

Proceedings

All the Accepted papers will be included in IDEAL'07 Proceedings, to be published by Springer in the Lecture Notes in Computer Science series. Papers should not exceed 10 pages and should comply with the format of LNCS/LNAI proceedings (see the Springer website for details).