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(C) 2001 by Yu Hen Hu

10

Intro. ANN & Fuzzy Systems

GENE REPRESENTATION

Encoding is a key to the GA: Feature (knowledge) representation

Each chromosome is a vector of genes representing a trial solution.

Each gene can be a binary number, a real number or other symbols.

Bit-string encoding where each gene is a binary number is the most popular approach.

Other approaches:  real number representation, order-based representation (good for graph coloring problem), embedded list (for factory scheduling), variable element lists (IC layout), and even LISP S-expressions.

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