TITLE

Genetic Algorithms and Evolutionary Computation

ISSN

N/A

ISSN ELECTRONIC

1568-2587

CATEGORY

Computer Science

DESCRIPTION

Researchers and practitioners alike are increasingly turning to search, optimization, and machine-learning procedures based on natural selection and genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solving problems and inventing new hardware and software that rival human designs. <br/> <em>Genetic Algorithms and Evolutionary Computation</em> will publish research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implementation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). Proposals in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing will be considered for publication in this series as long as GEC techniques are part of or inspiration for the system being described. Manuscripts describing GEC applications in all areas of engineering, commerce, the sciences, and the humanities are encouraged.

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  • Book: 978-1-4615-4369-5 (eBook)

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    12 TRIPLES      12 PREDICATES      13 URIs      9 LITERALS

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    3 sg:description Researchers and practitioners alike are increasingly turning to search, optimization, and machine-learning procedures based on natural selection and genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solving problems and inventing new hardware and software that rival human designs. <br/> <em>Genetic Algorithms and Evolutionary Computation</em> will publish research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implementation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). Proposals in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing will be considered for publication in this series as long as GEC techniques are part of or inspiration for the system being described. Manuscripts describing GEC applications in all areas of engineering, commerce, the sciences, and the humanities are encouraged.
    4 sg:issnElectronic 1568-2587
    5 sg:language En
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    7 sg:scigraphId 9a5c19a99567890e980a7cc070397623
    8 sg:shortTitle
    9 sg:title Genetic Algorithms and Evolutionary Computation
    10 sg:webpage https://link.springer.com/6008
    11 rdf:type sg:BookSeries
    12 rdfs:label BookSeries: Genetic Algorithms and Evolutionary Computation
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