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To investigate the questions in morphological evolution, some biologists seek to carry out evolution experiments owing to the incompleteness and uncontrollability of the fossil record and natural populations. To quantitatively analyse the morphology (cell size) evolution observed from a long-term experiment with Escherichia coli, the authors present three mathematical approximations to the Wright–Fisher...
Does evolution proceed faster in larger or smaller populations? The relationship between effective population size (N e ) and the rate of evolution has consequences for our ability to understand and interpret genomic variation, and is central to many aspects of evolution and ecology. Many factors affect the relationship between N e and the rate of evolution, and recent theoretical...
In this paper we investigate the influences on the genetic algorithm for the shortest driving time problem due to factors such as nodes on a map, the population size, the mutation rate, the crossover rate, and the converging rate. When the nodes on the map increase, more execution time is needed and much difference between the approximate solution and the exact solution appear on running genetic algorithms...
The study of genetics algorithms (GAs) with finite population size requires the stochastic treatment of evolution. In this study, we examined effects of genetic fluctuations on the performance of GA calculations. We considered the roles of mutation by using the stochastic schema theory within the framework of the Wright-Fisher model of Markov processes. The success probability of obtaining the optimum...
Cell placement is a phase in the chip design process, in which cells representing well-defined functions are assigned physical locations. Cell placement is an NP-complete problem, for which we intend to devise an adaptive genetic algorithm. Genetic algorithms have many parameters such as population size, mutation rate, crossover rate, and selection strategy, which are constants most of the time and...
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