http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Genetic algorithms and genetic programming
modern concepts and practical applications
1 online resource (xxvii, 365 pages) : illustrations
Describes several generic algorithmic concepts that can be used in various kinds of GA or with evolutionary optimization techniques. This title provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts.
Simulating evolution : basics about genetic algorithms -- Evolving programs : genetic programming -- Problems and success factors -- Preservation of relevant building blocks -- SASEGASA : more than the sum of all parts -- Analysis of population dynamics -- Characteristics of offspring selection and the RAPGA -- Combinatorial optimization : route planning -- Evolutionary system identification -- Applications of genetic algorithms : combinatorial optimization -- Data-based modeling with genetic programming.
Includes bibliographical references (pages 327-358) and index.
OAPEN (Open Access Publishing in European Networks)