3 * Model a genome as an array (x) of two floating point variables, range [-5.0, 5.0]
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4 * Create an organism (Maximizer) whose fitness algorithm seeks to maximize the
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5 value of f(x[1], x[2]) = x[1]**2 + x[2]**2
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6 * Create a population of 10 Maximizers
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7 * Each generation, breed 10 children from 2 parents each
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8 * Each generation, mutate 1 child out of 10
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9 * Run for 10 generations and print status info:
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11 * Min and Max Fitness
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12 * and Individual Status
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13 * ID, Features, and Fitness