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(C) 2001 by Yu Hen Hu

4

Intro. ANN & Fuzzy Systems

What is a Genetic Algorithm?

Repeat

Evaluate current candidates

Develop new candidates via reproduction with modification

which replace least-fit former candidates

Until satisfied

Three Components:

Representation of candidate solutions (states) - Genes

Selection criteria to evaluate the FITNESS of each gene

Reproduction rules to generate new candidate solutions (genes) based on derivation from current solutions (cross-over breeding) and directed random search (mutation).

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