Swarm and Evolutionary Intelligence
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{Chang:2020:AIdrug,
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author = "Mark Chang",
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title = "Swarm and Evolutionary Intelligence",
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booktitle = "Artificial Intelligence for Drug Development,
Precision Medicine, and Healthcare",
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publisher = "Chapman and Hall/CRC",
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year = "2020",
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chapter = "12",
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address = "New York",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "9780429345159",
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URL = "https://www.taylorfrancis.com/books/mono/10.1201/9780429345159/artificial-intelligence-drug-development-precision-medicine-healthcare-mark-chang",
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URL = "https://www.amazon.co.uk/Artificial-Intelligence-Development-Healthcare-Biostatistics/dp/0367362929",
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DOI = "doi:10.1201/9780429345159",
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size = "15 pages",
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abstract = "... Genetic programming is a systematic,
domain-independent method for getting computers to
solve problems automatically starting from a high-level
statement of what needs to be done. The idea of genetic
programming is to evolve a population of computer
programs. Genetic programming does not have to be for
mathematical function fitting. Evolutionary algorithms
include genetic algorithms and genetic programming.
Genetic programming and genetic algorithms are very
similar in that they both use evolution by comparing
the fitness of each candidate in a population of
potential candidates over many generations. Swarm
intelligence and evolutionary artificial intelligence
have found applications in drug discovery and
development and in artificial general intelligence.",
- }
Genetic Programming entries for
Mark Chang
Citations