What Cellular Evolutionary Algorithms (cEAs) are?

Introduction to cEAs
cEAs classification

Evolutionary Programming (EP)

Evolution Strategies (ES)

Genetic Algorithms (GA)

Genetic Programming (GP)

Structure of cEAs

Typical pseudocode for a cEA
Operators of cEAs

Selection

Reproduction

      Recombination

      Mutation

      Reordering

Replacement

Structure of individuals
The neighborhood
The concept of ratio

Recent Research in cEAs

   Modeling the Selection Pressure

      Takeover Time

   The Exploration/Exploitation Balance

      Synchronous vs. asynchronous cEAs
      Varying the population density
      Changing the ratio during the evolution
      The predator-prey model

   Parallelizing cEAs

      SIMD machines
      MIMD machines
      Some more recent models

   Measures of evolution in cEAs

   cEAs for Solving Complex Problems

      Satisfiability problem - SAT
      Vehicle Routing Problem - VRP
      Error Correcting Codes design problem - ECC
      cGAs for training recurrent neural networks (under construction)
      cGP for data classification (under construction)

References

Bibliography
Links