∗ Provides an accessible and natural extension of classical population genetics to multiple loci
∗ Exposes the population genetic aspects of sexual reproduction
∗ Describes the complexity of evolutionary interactions among genes
∗ Provides the background for insight into the functioning of genetic algorithms applied in computer science
∗ Written by a world leader in the field
The book is divided into two main sections. Part I – Recombination and Segregation – includes coverage of random mating, inbreeding, migration and mixing. Part II – Selection – covers numerous phenomena involving natural selection including viability, fertility, mutation and migration. The author has successfully presented the theory in a way that is intelligible to anyone with a reasonably good background in basic mathematics and is devoted to learning multiple loci population genetics. The text is primarily aimed at advanced undergraduate and postgraduate students and researchers interested in genetics and population biology. It is also essential reading for those working or researching in biomathematics and adaptive computing.
RECOMBINATION AND SEGREGATION.
Random Mating: Sexes Equal.
Random Mating: Sex Difference.
Inbreeding: Partial Selfing.
Migration and Mixing.
Symmetric Viability Selection.
Mutation and Selection.
Migration and Selection.
Evolution of Recombination.