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building blocks of a given length In this phase only reproduction is used to enrich the set of good building blocks The second step (juxtaposition phase) uses various genetic operators to converge Micro genetic algorithm A GA that uses small populations sizes Migration The transfer of the genes of an individual from one subpopulation to another MIMD Multiple instructions, multiple data A parallel computer with each processor working independently on its own data Mitosis Reproduction of a single cell by splitting Asexual reproduction Multimodal Cost surface with multiple minima Multiple objective optimization (MOO) Optimization in which the objective function returns more than a single value Mutation A reproduction operator that randomly alters the values of genes in a parent chromosome Mutation rate Percentage of bits in a population mutated each iteration of the GA Natural selection The most- t individuals reproduce, passing their genetic information on to their offspring.
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hypotheses that may be true In this case, the hypothesis being tested is that the PRNG is random, and the null hypothesis is that it is not No test can prove that the generator is random, because a single test does not guarantee that a PRNG will be assessed similarly with regard to another test A test for randomness may only prove the null hypothesis that the generator is not random Failure to accept the null is evidence, not proof, of the hypothesis that the PRNG is indeed random It is important to note that tests such as these examine only one aspect of pseudo-random number generation: the distributional properties of the sequence created As discussed in 2, there are two other requirements for correct use of PRNGs: adequate period length and truly random seed values Furthermore, parallel applications and innovative simulation applications require special treatment.
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In practice, a variety of tests are used to reveal regularities in known classes of PRNGs and capture some behavior of the sequence that is likely to be used by researchers relying on the PRNGS in their simulations Some test statistics are based on simple properties of the uniform distribution, while other test statistics are designed explicitly to detect the types of structure that PRNG are known to be prone to produce In addition, physical model tests, such as ISING model and random-walk tests, use PRNGs to duplicate well-known physical processes Good physical tests have the structure of practical applications while providing a known solution Two examples of common tests illustrate this general methodology 3241 Long-Runs Test The long-runs test, a part of the Federal Information Processing Standard for testing cryptographic modules, is a relatively weak but simple test that sequence is distributed uniformly.
Nelder-mead downhill simplex algorithm A nonderivative, robust local optimization method developed in 1965 Neural network An algorithm modeling biological nervous systems consisting of a large number of highly interconnected processing elements called neurons that have weighted connections called synapses Niche The survival strategy of an organism (grazing, hunting, on the ground, in trees, etc) Species in different niches (eg, one eating plants, the other eating insects) may coexist side by side without competition If two species occupy the same niche, the weaker species will be made extinct Diversity of species depends different niches or geographical separation Each peak in the cost function is analogous to a niche Objective function The function to be optimized Object variables Parameters that are directly involved in assessing the relative worth of an individual Off-line performance An average of all costs up to the present generation.
It is de ned on the bits produced by a PRNG, as follows: 1 Generate a random sequence of 20,000 bits 2 Compute the distribution of all runs of lengths l in s (A run is de ned as a maximal sequence of consecutive bits of either all ones or all zeros) The test statistic t (s) is the number of runs of l > 33 3 The test succeeds if t = 0 3242 Birthday Spacings Test The birthday spacings test is performed on the set of integers produced by a PRNG It examines the distribution of spacing among birthdays randomly drawn from a year that is n days long Note that it tests only the distribution of the members of the set and does not test the ordering of the members.
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Extract images from PDF – source code samples below will help you to extract images from PDF files in ASP.NET, C# , VB.NET and VBScript using PDF Extractor SDK. Also, check this tutorial: How to extract images from PDF by pages. Select your programming language: ASP.NET.
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