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An introduction to genetic algorithms
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ISBN: 0262631857 9780262631853 0262133164 0585030944 0262280019 9780262280013 9780585030944 9780262133166 Year: 1996 Publisher: Cambridge, Mass. : MIT Press,

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Abstract

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

Keywords

genetische algoritmen --- Artificial intelligence. Robotics. Simulation. Graphics --- robots --- Genetics --- Analysis of algorithms and problem complexity--See also {681.3*B6} {681.3*B7} {681.3*F13} --- Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*I26 Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F2 Analysis of algorithms and problem complexity--See also {681.3*B6} {681.3*B7} {681.3*F13} --- Genetische algoritmen --- Genetische algoritmen. --- 681.3*F2 --- 681.3*I26 --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F2 Analysis of algorithms and problem complexity--See also {681.3*B6}; {681.3*B7}; {681.3*F13} --- Analysis of algorithms and problem complexity--See also {681.3*B6}; {681.3*B7}; {681.3*F13} --- Biology --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Biomathematics --- Computer simulation --- Mathematical models --- #TELE:SISTA --- Computer science --- Computer simulation. --- Mathematical models. --- Genetic algorithms. --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Algorithms --- Combinatorial optimization --- Evolutionary computation --- Genetic programming (Computer science) --- Learning classifier systems --- COMPUTER SCIENCE/General

Bioinformatics: sequence and genome analysis
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ISBN: 0879697121 9780879697129 9780879696870 0879696877 Year: 2004 Publisher: Cold Spring Harbor (N.Y.) Laboratory Press

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DNA sequences --- bio-informatica --- biochemie --- biologie --- data acquisitie --- genoom --- informatietechnologie --- internet --- moleculaire biologie --- populatiegenetica --- proteïnen --- statistiek --- websites --- Séquence des acides aminés --- Nucleotide sequence. --- Bioinformatica --- Bioinformatica. --- Séquence nucléotidique --- Séquence des acides aminés --- Amino acid sequence --- Bioinformatics --- Genetics --- Nucleotide sequence --- 575.113 --- 575.113 Gene. Genetic apparatus. Genome --- Gene. Genetic apparatus. Genome --- Analysis, Nucleic acid sequence --- Analysis, Nucleotide sequence --- Base sequence (Nucleic acids) --- DNA sequence --- Nucleic acid sequence analysis --- Nucleotide sequence analysis --- RNA sequence --- Sequence, Nucleotide --- Nucleic acids --- Nucleotides --- Sequence alignment (Bioinformatics) --- Biology --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Amino acid sequence analysis --- Analysis, Amino acid sequence --- Peptide sequence --- Peptide sequencing --- Protein sequence --- Protein sequencing --- Sequence, Amino acid --- Amino acids --- Proteins --- Data processing --- Analysis --- Molecular biology --- Amino acid sequence. --- Bioinformatics. --- Data processing. --- Génétique --- Bio-informatique --- Informatique --- Génétique --- Bioinformatique --- Séquence nucléotidique --- Computational biology. --- Genetic Phenomena. --- Genetic Techniques. --- Genetics - Data processing --- Genetic Phenomena --- Genetic Techniques --- Base sequence --- Microship analytical procedures --- Phylogeny --- Sequence analysis

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