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  • 1
    Electronic Resource
    Electronic Resource
    Dynamic Parameter Encoding for Genetic Algorithms (1992)
    Springer
    Machine learning 9 (1992), S. 9-21 
    Details
    ISSN: 0885-6125
    Keywords: Adaptive encoding ; real-valued parameters ; ARGOT ; premature convergence ; genetic hitchhiking
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The common use of static binary place-value codes for real-valued parameters of the phenotype in Holland's genetic algorithm (GA) forces either the sacrifice of representational precision for efficiency of search or vice versa. Dynamic Parameter Encoding (DPE) is a mechanism that avoids this dilemma by using convergence statistics derived from the GA population to adaptively control the mapping from fixed-length binary genes to real values. DPE is shown to be empirically effective and amenable to analysis; we explore the problem of premature convergence in GAs through two convergence models.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1022624728869
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Dynamic Parameter Encoding for genetic algorithms (1992)
    Springer
    Machine learning 9 (1992), S. 9-21 
    Details
    ISSN: 0885-6125
    Keywords: Adaptive encoding ; real-valued parameters ; ARGOT ; premature convergence ; genetic hitchhiking
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The common use of static binary place-value codes for real-valued parameters of the phenotype in Holland's genetic algorithm (GA) forces either the sacrifice of representational precision for efficiency of search or vice versa.Dynamic Parameter Encoding (DPE) is a mechanism that avoids this dilemma by using convergence statistics derived from the GA population to adaptively control the mapping from fixed-length binary genes to real values. DPE is shown to be empirically effective and amenable to analysis; we explore the problem ofpremature convergence in GAs through two convergence models.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00993252
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Response to potyvirus infection and genetic mapping of resistance loci to potyvirus infection in Lactuca (1997)
    Springer
    Theoretical and applied genetics 94 (1997), S. 941-946 
    Details
    ISSN: 1432-2242
    Keywords: Key words Disease resistance ; Genetic mapping ; Turnip mosaic virus ; Lettuce mosaic virus
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  We have investigated the interaction between two different potyviruses and resistant cultivars of Lactuca sativa. Turnip mosaic virus (TuMV) and lettuce mosaic virus (LMV) were used to inoculate several cultivars under different temperature regimes to characterize the resistance reaction. Resistance conferred by the recessive mo locus against LMV infection did not provide immunity. Virus accumulated in plant tissues to different levels depending on the genetic background of the cultivar, suggesting that several genes were involved in the resistance phenotype. Under temperature regimes that enhanced the hypersensitive reaction, resistant cultivars produced necrotic reactions. In contrast, resistance to TuMV infection conferred by the dominant Tu locus resulted in complete immunity in the plant. No virus accumulated in inoculated leaves nor was any necrotic reaction observed. The resistance loci were characterized at the genetic level by mapping them relative to molecular markers. Only weak linkages could be identified to mo, again supporting the hypothesis that several genes are involved. The Tu locus was mapped in two different crosses relative to several markers, the closest two linked at less than 1 cM. A high-resolution genetic map of the Tu locus was constructed by screening 500 F2 individuals for recombinants around that locus.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050499
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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