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296,701
On the choice of the mutation probability for the (1+1) EA
 PROC. OF PPSN VI (PARALLEL PROBLEM SOLVING FROM NATURE), LNCS
, 2000
"... When evolutionary algorithms are used for function optimization, they perform a heuristic search that is influenced by many parameters. Here, the choice of the mutation probability is investigated. It is shown for a nontrivial example function that the most recommended choice for the mutation prob ..."
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Cited by 19 (11 self)
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When evolutionary algorithms are used for function optimization, they perform a heuristic search that is influenced by many parameters. Here, the choice of the mutation probability is investigated. It is shown for a nontrivial example function that the most recommended choice for the mutation
Variable, genomedependent mutation probability for Genetic Algorithms
, 1995
"... The right choice of the mutation rate in Genetic Algorithms naturally depends on the transition genotype \Gamma! phenotyp, called the coding. Theoretical analysis of this dependence, the optimal rate and the selfadaptation of the parameters which govern this rate has been sparse. We will use the w ..."
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the way Evolution Strategies encode and mutate to propose a mutation probability for Genetic Algorithms, which is genomedependent and driven by only one parameter. This opens up the possibility of selfadaptation. We will show for two standard test functions that the new mutation probability indeed gives
Redefining Mutation Probabilities for Evolutionary Optimization Problems
"... Presently genetic operators in evolutionary optimization computation employ stochastic or random functions. Some domain optimization is devoid of ideal states and these mutation probabilities rely heavily on fitness criteria. Moreover evolution of ideal system state can be mutual with inhibitive mut ..."
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Presently genetic operators in evolutionary optimization computation employ stochastic or random functions. Some domain optimization is devoid of ideal states and these mutation probabilities rely heavily on fitness criteria. Moreover evolution of ideal system state can be mutual with inhibitive
Bayes Factors
, 1995
"... In a 1935 paper, and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece was a number, now called the Bayes factor, which is the posterior odds of the null hypothesis when the prior probability on the null ..."
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Cited by 1766 (74 self)
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In a 1935 paper, and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece was a number, now called the Bayes factor, which is the posterior odds of the null hypothesis when the prior probability on the null
Tandem repeats finder: a program to analyze DNA sequences
, 1999
"... A tandem repeat in DNA is two or more contiguous, approximate copies of a pattern of nucleotides. Tandem repeats have been shown to cause human disease, may play a variety of regulatory and evolutionary roles and are important laboratory and analytic tools. Extensive knowledge about pattern size, co ..."
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Cited by 946 (9 self)
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, copy number, mutational history, etc. for tandem repeats has been limited by the inability to easily detect them in genomic sequence data. In this paper, we present a new algorithm for finding tandem repeats which works without the need to specify either the pattern or pattern size. We model tandem
Genetic Programming
, 1997
"... Introduction Genetic programming is a domainindependent problemsolving approach in which computer programs are evolved to solve, or approximately solve, problems. Genetic programming is based on the Darwinian principle of reproduction and survival of the fittest and analogs of naturally occurring ..."
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Cited by 1051 (12 self)
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genetic operations such as crossover (sexual recombination) and mutation. John Holland's pioneering Adaptation in Natural and Artificial Systems (1975) described how an analog of the evolutionary process can be applied to solving mathematical problems and engineering optimization problems using what
Studies of transformation of Escherichia coli with plasmids
 J. Mol. Biol
, 1983
"... Factors that affect he probability of genetic transformation f Escherichia coli by plasmids have been evaluated. A set of conditions is described under which about one in every 400 plasmid molecules produces a transformed cell. These conditions include cell growth in medium containing elevated level ..."
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Cited by 1609 (1 self)
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Factors that affect he probability of genetic transformation f Escherichia coli by plasmids have been evaluated. A set of conditions is described under which about one in every 400 plasmid molecules produces a transformed cell. These conditions include cell growth in medium containing elevated
Fast Folding and Comparison of RNA Secondary Structures (The Vienna RNA Package)
"... Computer codes for computation and comparison of RNA secondary structures, the Vienna RNA package, are presented, that are based on dynamic programming algorithms and aim at predictions of structures with minimum free energies as well as at computations of the equilibrium partition functions and bas ..."
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Cited by 812 (119 self)
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and base pairing probabilities. An efficient heuristic for the inverse folding problem of RNA is introduced. In addition we present compact and efficient programs for the comparison of RNA secondary structures based on tree editing and alignment. All computer codes are written in ANSI C. They include
Construction of Escherichia coli K12 inframe, singlegene knockout mutants: the Keio collection. Mol. Syst. Biol 2:2006.0008
, 2006
"... We have systematically made a set of precisely defined, singlegene deletions of all nonessential genes in Escherichia coli K12. Openreading frame coding regions were replaced with a kanamycin cassette flanked by FLP recognition target sites by using a onestep method for inactivation of chromosom ..."
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Cited by 701 (7 self)
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collectionâ€™â€”provide a new resource not only for systematic analyses of unknown gene functions and gene regulatory networks but also for genomewide testing of mutational effects in a common strain background, E. coli K12 BW25113. We were unable to disrupt 303 genes, including 37 of unknown function, which
Aging: a theory based on free radical and radiation chemistry
 J Gerontol
, 1956
"... The phenomenon of growth, decline and deathaginghas been the source of considerable speculation (1, 8, 10). This cycle seems to be a more or less direct function of the metabolic rate and this in turn depends on the species (animal or plant) on which are superimposed the factors of heredity and ..."
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Cited by 605 (2 self)
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and of radiobiology, it seems possible that one factor in aging may be related to deleterious side attacks of free radicals (which are normally produced in the course of cellular metabolism) on cell constituents.' Irradiation of living things induces mutation, cancer, and aging (9). Inasmuch as these also arise
Results 1  10
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296,701