Inversion mutation operator

Pair up the individuals in the mating pool and generate A(> /r) new-born offspring individuals using the operators of recombination and mutation. In this study, each chromosome consists of three portions. For the first portion of the chromosome, discrete recombination operators, repeated exchange mutation operators, and evolutionary inversion mutation operators are employed. For the second portion of the chromosome, traditional gene-alter mutation operators and traditional discrete recombination operators are developed. For the third portion of the chromosome, exchange mutation operators and traditional discrete recombination operators are developed. 

Figtue 6.7(a) shows an illustration of step 1 of the above-mentioned procedure. The procedtue of the evolutionary inversion mutation operation is outlined below ... 

Mutation operators, (a) Exchange mutation operator, (b) Inversion mutation operator. 

Inversion and reordering ate two additional mutational operators whose goal is to increase diversity in the population. Inversion simply takes the chromosome, or a segment of the chromosome, and flips it end-for-end, whereas reordering takes a single chromosome, chops two sections out, and replaces one with the other. 

Define the genetic operators. They generate a new set of search variables from a given set. The two most frequently used operators are mutation and recombination. The mutation operator flips a variable Si to its inverse value if it is binary (or adds a random number to it drawn from a fixed distribution, if Si is real valued). This is most easily done with a fixed probability pm for each variable. The recombination operator swaps variables between two members of a population, the simplest procedure being uniform crossover where each variable 5 is swapped with a fixed probability Pc-... 

---