BGas Notes ( Complete)

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Notes on various subjects under BBA LLB degree

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An expedition to Ankgor Vat and the work created by Indian artists. Bodhi Art and Threshold

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We have already seen that Holland chose to use the language of biology, and described the basic structures that a GA manipulates as chromosomes. We will consider in the next section how such a structure might arise. For the moment, we will assume that we have a string or vector where each component is a symbol from an alphabet A set 1 of such strings has been generated, and they collectively comprise the population. This population is about to undergo a process called reproduction, whereby the current population is transformed into a new one. This transformation takes place by means of selection, recombination and mutation. Numerous variants of GAs are possible, and we shall describe some of these later in the chapter. 2.2 Representation As remarked in the previous chapter, the focus in this book is on using GAs as optimizers, so we recall here our basic optimization problem: given a function find From a mathematical perspective, we take this problem and encode the decision variables as strings or vectors where each component is a symbol 1 To be strictly accurate, unless we take special measures to prevent it, the population is often a multiset, as multiple copies of one or more strings may be present.

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