Cellular Evolutionary Algorithms Site

What Cellular Evolutionary Algorithms (cEAs) are?

Introduction to cEAs

cEAs classification

Structure of cEAs

Typical pseudocode for a cEA

Operators of cEAs

Structure of individuals

The neighborhood

The concept of ratio

Recent Research in cEAs

Modeling the Selection Pressure

Takeover TimeThe Exploration/Exploitation Balance

Synchronous vs. asynchronous cEAsVarying the population density

Changing the ratio during the evolution

The predator-prey model

Parallelizing cEAs

SIMD
machines

MIMD
machines

Some
more recent models

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