January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Optimizing Simionescu's function using genetic algorithms
The genetic algorithm-based program we created for optimizing Simionescu's function resides in the Python 04-optimize-simionescu.py program, located at:
The program is very similar to the first one we used in this chapter, created originally for the Eggholder function, with the following highlighted differences:
- The constants setting the boundaries are adjusted to match the domain of Simionescu's function:
BOUND_LOW, BOUND_UP = -1.25, 1.25
- In addition, a new constant determines a fixed penalty (or cost) for violating the constraint:
PENALTY_VALUE = 10.0
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