Chromosome: Implements a chromosome to genetic algorithm. This is an abstract class. Other classes are provided in this book that use this base class to train neural networks or provide an answer to the traveling salesman problem. Lifeforms in this genetic algorithm consist of one single chromosome each. Therefore, this class represents a virtual lifeform. The chromosome is a string of objects that represent one solution. For a neural network, this string of objects usually represents the weight and threshold matrix. Chromosomes are made up of genes. These are of the generic type GENE_TYPE. For a neural network this type would most likely be double values.