Evolutionary Computation

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Evolutionary Computation

Whereas Evolutionary Algorithms generally only involve techniques implementing mechanisms such as Reproduction , Mutation , Recombination , Natural Selection and Survival Of The Fittest , evolutionary computation can be loosely recognised by the following criteria:

iterative progress, growth or development (see Evolution )

Population based

guided Random search

Parallel Processing

often Biological ly inspired

This mostly involves Metaheuristic Optimization Algorithm s such as:

Evolutionary Algorithm s (comprising Genetic Algorithm , Evolutionary Programming , Evolution Strategy , Genetic Programming and Learning Classifier System s)

Swarm Intelligence (comprising Ant Colony Optimization and Particle Swarm Optimization )

and in a lesser extent also:

Self-organization such as Self-organizing Map s, Growing Neural Gas , Competitive Learning

Differential Evolution

Artificial Life (also see Digital Organism )

Cultural Algorithm s

Artificial Immune System s

MAJOR CONFERENCES AND WORKSHOPS

The Genetic And Evolutionary Computation Conference (GECCO)

IEEE Congress On Evolutionary Computation (CEC)

Parallel Problem Solving From Nature (PPSN)

The Foundations Of Genetic Algorithms workshop (FOGA)

The Workshop On Ant Colony Optimization And Swarm Intellligence (ANTS)

The Evo--- and EuroGP

JOURNALS

'' Evolutionary Computation ''

'' IEEE Transactions on Evolutionary Computation ''

'' Genetic Programming and Evolvable Machines ''

REFERENCES

Evolutionary Computation Repository

Hitch-Hiker's Guide to Evolutionary Computation (FAQ for comp.ai.genetic)