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1.Chromosome representation in previous work: Each chromosome represents an index i

Using a Genetic Algorithm (GA) to Develop an Environmental Index – Encoding Functional Form into GA. 1.Chromosome representation in previous work: Each chromosome represents an index i i =( m, n, type )

chaim-freeman
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1.Chromosome representation in previous work: Each chromosome represents an index i

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  1. Using a Genetic Algorithm (GA) to Develop an Environmental Index – Encoding Functional Form into GA 1.Chromosome representation in previous work: • Each chromosome represents an index i i =(m, n, type) • Trait Q might be correlated to this type of temperature, beginning m days after flowering, and covering an n-day interval • Possible values for type are avg, max, or min • Fitness value: coeffientOfCorrelation of linear regression 2 5 max Example chromosome

  2. 2.Chromosome Representation – Encoding Functional Form • Each chromosome represents an index i i =(m, n, type, k, b) • Trait Q might be correlated to this type of temperature, beginning m days after flowering, and covering an n-day interval, and Q = k*I + b • Possible values for type are avg, max, or min • Fitness value: determined by the deviation between the real (or artificial) trait value and the trait value computed according to the present chromosome. 2 5 max k b Example chromosome

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