GA 1 (genetic algorithm) - translation to Αγγλικά
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GA 1 (genetic algorithm) - translation to Αγγλικά

METHODS OF EVOLUTIONARY COMPUTATION THAT USE HUMAN EVALUATION
Interactive genetic algorithm; Interactive genetic algorithms; Interactive evolutionary algorithm

GA1 (genetic algorithm)      
(n.) = algoritmo genético
Ex: The article "Splashing in the gene pool" describes a recent project to investigate the use of genetic algorithms (GA) in some aspects of information retrieval.
genetic engineering         
  • ''[[A. tumefaciens]]'' attaching itself to a carrot cell
  • Products of genetic engineering
  • upright=1.7
  • date=November 1999}}</ref>
  • Human cells in which some proteins are fused with [[green fluorescent protein]] to allow them to be visualised
  • A gene gun uses [[biolistics]] to insert DNA into plant tissue.
  • In 1974 [[Rudolf Jaenisch]] created a [[genetically modified mouse]], the first GM animal.
  • [[Polymerase chain reaction]] is a powerful tool used in [[molecular cloning]].
  • Knockout mice]]
DIRECT MANIPULATION OF AN ORGANISM'S GENOME USING BIOTECHNOLOGY
Genetically engineer; Genetic manipulation; Genetic modification; Genetic modificiation; Applied genetics; Intelligent selection; Genetically modified; GM technology; GM Technology; Genetically-modified; Genetic Engineering; Genetic Enginering; Genetically-engineered; Genetically engineered; Genetic Engeneering; Genetic engeering; Genetics engineering; Genetic engineer; Genetical engineering; Genetic engineers; Genetic Modification; Genetic splicing; Gene manipulation; Genetic engineering technology; Genetically Modified; Gengineering; Gene technology; Genetically-modifying; Green gene technology; Red gene technology; Genetic control; Genetic modifications; Genetically augmented; Genomancy; Genetic engineering in agriculture; Applications of genetic engineering; Genetic technology; Evolutionary engineering; Gene engineering
ingeniería genética
algorithm         
  • Alan Turing's statue at [[Bletchley Park]]
  • The example-diagram of Euclid's algorithm from T.L. Heath (1908), with more detail added. Euclid does not go beyond a third measuring and gives no numerical examples. Nicomachus gives the example of 49 and 21: "I subtract the less from the greater; 28 is left; then again I subtract from this the same 21 (for this is possible); 7 is left; I subtract this from 21, 14 is left; from which I again subtract 7 (for this is possible); 7 is left, but 7 cannot be subtracted from 7." Heath comments that "The last phrase is curious, but the meaning of it is obvious enough, as also the meaning of the phrase about ending 'at one and the same number'."(Heath 1908:300).
  • "Inelegant" is a translation of Knuth's version of the algorithm with a subtraction-based remainder-loop replacing his use of division (or a "modulus" instruction). Derived from Knuth 1973:2–4. Depending on the two numbers "Inelegant" may compute the g.c.d. in fewer steps than "Elegant".
  • 1=IF test THEN GOTO step xxx}}, shown as diamond), the unconditional GOTO (rectangle), various assignment operators (rectangle), and HALT (rectangle). Nesting of these structures inside assignment-blocks results in complex diagrams (cf. Tausworthe 1977:100, 114).
  • A graphical expression of Euclid's algorithm to find the greatest common divisor for 1599 and 650
<syntaxhighlight lang="text" highlight="1,5">
 1599 = 650×2 + 299
 650 = 299×2 + 52
 299 = 52×5 + 39
 52 = 39×1 + 13
 39 = 13×3 + 0</syntaxhighlight>
SEQUENCE OF INSTRUCTIONS TO PERFORM A TASK
Algorithmically; Computer algorithm; Properties of algorithms; Algorithim; Algoritmi de Numero Indorum; Algoritmi de numero indorum; Algoritmi De Numero Indorum; Алгоритм; Algorithem; Software logic; Computer algorithms; Encoding Algorithm; Naive algorithm; Naïve algorithm; Algorithm design; Algorithm segment; Algorithmic problem; Algorythm; Rule set; Continuous algorithm; Algorithms; Software-based; Algorithmic method; Algorhthym; Algorthym; Algorhythms; Formalization of algorithms; Mathematical algorithm; Draft:GE8151 Problem Solving and Python Programming; Computational algorithms; Optimization algorithms; Algorithm classification; History of algorithms; Patented algorithms; Algorithmus
algoritmo

Ορισμός

Ga

Βικιπαίδεια

Interactive evolutionary computation

Interactive evolutionary computation (IEC) or aesthetic selection is a general term for methods of evolutionary computation that use human evaluation. Usually human evaluation is necessary when the form of fitness function is not known (for example, visual appeal or attractiveness; as in Dawkins, 1986) or the result of optimization should fit a particular user preference (for example, taste of coffee or color set of the user interface).