By Peter Leow
This e-book introduces the basic techniques of genetic algorithms in thought through a walk-through at the layout and implementation of a genetic algorithms undertaking.
Read Online or Download Genetic Algorithms Demystified: Unravel the Myths and Power of Genetic Algorithms in Machine Learning PDF
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Extra info for Genetic Algorithms Demystified: Unravel the Myths and Power of Genetic Algorithms in Machine Learning
Example text
5. Child 1 is born. 6. Swap the roles of the two parents and repeat steps 3 and 4 to produce child 2. Multi-point Crossover Refer to Figure 4 below: Figure 4: Multi-point Crossover 1. g. parent 1 and parent 2, for reproduction. 2. Select the position of two (or more) crossover points randomly. 3. Copy those genes outside of the two crossover points of parent 1's chromosome to child 1. 4. Copy those genes in between the two crossover points of parent 2's chromosome to child 1. 5. Child 1 is born.
3. The crossover operators. 4. The mutation operators. 5. e. population size, crossover rate, and mutation rate. When to Use Genetic algorithms can be applied to solve problems in the following situations: 1. There is no known ways to reasonably solve problems; 2. g. NP-complete; but 3. If presented with alternatives, we can tell the good solutions from the bad ones. Caveats If genetic algorithms can converge to an optimal solution, it is equally likely that it can converge to a poor solution. If that occurs, it is most probably owing to poor problem modeling, premature convergence, a poor fitness function, poor parameter settings, or simply bad luck of the random number.
Figure 7: Stacks of Packages The problem requirements state that: 1. The distribution of the weights of the packages should be more or less uniform; and 2. It is also necessary to ensure that the lighter packages are placed on top of the heavier ones. Translate these into genetic algorithms objectives, we have: 1. Optimize weight distribution horizontally to balance the vessel; and 2. Optimize weight distribution vertically to maintain low center of gravity. To make the project more challenging, I have added two more requirements: 3.