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The Evolutionary Optimizer (EVO)
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The Evolutionary Optimizer (EVO) is a tool for optimizing any
systems whose properties are determined by numerical parameters
(fuzzy controllers, for example). The approach for optimizing the parameters
is adapted from the biological evolution: A "population" of
several parameter sets represents a "parents" generation, which generates
"children" (new parameter sets). Generation for generation,
the properties of the system will be improved by modifying the parameter sets
using the following evolutionary operators:
- Selection of the parents according to their quality
("survival of the fittest"),
- Recombination (mixing) of properties from different
parents (transmission),
- Mutation (random changes) of properties.
The selection of parents and the generating of children with new properties
will be repeated until the system has reached the required optimizing level.
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Softcomputing ·
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