Intelligent Information Systems - Lecture 16 - Evolution Strategies, Evolutionary Programming, Genetic Programming
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1+1 ES

1. Evaluated fitness of parent P, f(P)

2. Create child C by adding small normally distributed values to each parameter of P

3. Evaluate the fitness of C, f(C)

4. If f(C) > f(P) then

replace P with C

5. Repeat Steps 2-4 until stopping condition

 

   
Maintained by Dr Michael J. Watts (mike.watts.net.nz).