Engineering Evolutionary Intelligent Systems 2008

• Ajith Abraham, Crina Grosan:
  Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews. 1-22
  
• Sung-Kwun Oh, Witold Pedrycz:
  Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. 23-57
  
• Sung-Kwun Oh, Witold Pedrycz:
  Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. 59-108
  
• Dongwon Kim, Gwi-Tae Park:
  Evolution of Inductive Self-organizing Networks. 109-128
  
• Kiruthika Ramanathan, Sheng Uei Guan:
  Recursive Pattern based Hybrid Supervised Training. 129-156
  
• Kiruthika Ramanathan, Sheng Uei Guan:
  Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC). 157-176
  
• Urszula Markowska-Kaczmar:
  Evolutionary Approaches to Rule Extraction from Neural Networks. 177-209
  
• Tushar Kumar Pratihar, Dilip Kumar Pratihar:
  Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller. 211-250
  
• Mattia C. F. Prosperi, Giovanni Ulivi:
  Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization. 251-287
  
• Antonia Azzini, Andrea Tettamanzi:
  A New Genetic Approach for Neural Network Design. 289-323
  
• Ian Dempsey, Anthony Brabazon, Michael O'Neill:
  A Grammatical Genetic Programming Representation for Radial Basis Function Networks. 325-335
  
• Daeho Cha, Michael Blumenstein, Hong Zhang, Dong-Sheng Jeng:
  A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth. 337-351
  
• Alejandro Quintero, Samuel Pierre:
  On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms. 353-377
  
• Enrique Alba, Bernabé Dorronsoro:
  A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem. 379-422
  
• Jeff Achtnig:
  Particle Swarm Optimization with Mutation for High Dimensional Problems. 423-439