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GENETIC DIVERGENCE AND HYBRID SPECIATION
Evolution, 2007Although the evolutionary importance of natural hybridization has been debated for decades, it has become increasingly clear that hybridization plays a fundamental role in the evolution of many plant and animal taxa, sometimes resulting in the formation of entirely new species.
Chapman, M.A., Burke, J.M.
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Hybrid genetic algorithm [PDF]
2015 Open Conference of Electrical, Electronic and Information Sciences (eStream), 2015 In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling.
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An Efficient Hybridized Genetic Algorithm [PDF]
2018 IEEE International Conference of Safety Produce Informatization (IICSPI), 2018 Aiming at deficient hencies in global search and convergence speed of traditional basic genetic algorithm, a novel hybrid genetic algorithm based on simulated annealing is proposed. The proposed algorithm not only has all the features of traditional genetic algorithm, but also further improves the global searching ability, prevents it from premature ...
Liwei Jia, Xiaoming Shi, Kun Li
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Genetics of Hybrid Sterility [PDF]
Nature, 1938 IT is a remarkable fact that the disturbances connected with genic sterility in hybrids between species (or races) are paralleled within species by similar disturbances caused by single genes. For example, there is an analogy between the asynaptic mutations in several plants and genic asynapsis in hybrids and likewise between the polymitotic mutation ...
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Genetic Mapping in Hybrid Zones
The American Naturalist, 2002Recent advances in genetic mapping methodologies make it feasible to localize quantitative trait loci (QTL) that contribute to adaptation and speciation. However, it has not been possible to employ these methods in many wild species because of difficulties associated with creating and propagating recombinant populations of sufficient size for QTL ...
C. Alex Buerkle, Loren H. Rieseberg
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MEmory Genetic Algorithm Hybridized for Zeolites
2017 IEEE Congress on Evolutionary Computation (CEC), 2017Zeolite structure determination is an interesting challenge even with the progress in terms of structural resolution from X-rays and electron diffraction. The infinite number of potential solutions and the computational cost of this problem make the use of an evolutionary algorithm significant for this challenge.
Abdelkafi, Omar +3 more
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Surrogate Genetics: The Use of Bacterial Hybrids as a Genetic Tool
Methods, 2000Experimental dissection of bacterial genomes requires a well-developed set of genetic tools, but many bacteria lack the essential tools required for genetic analysis. Recombination of a region of chromosomal DNA from poorly characterized donor bacteria with the chromosome of a suitable surrogate host creates a genetically malleable hybrid, providing a ...
Thomas C. Zahrt, Stanley Maloy
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Hybrid parallelization of a compact genetic algorithm
Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003. Proceedings., 2003Genetic Algorithms (GAs) are stochastic optimization heuristics in which searches in solution space are carried out by imitating the population genetics stated in Darwin's theory of evolution. We have focused this work on compact Genetic Algorithms (cGAs), which unlike standard GAs do not manage a population of solutions but only mimics its existence ...
Hidalgo JI +5 more
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Hybrid Genetic Algorithm for TSP
2011 Seventh International Conference on Computational Intelligence and Security, 2011When use simple genetic algorithm for solving the traveling salesman problem, the generated optimal solution is over stochastic and does not consider the neighborhood information in whole search process. In order to reduce the randomness, the paper proposes a hybrid genetic algorithm which based on ant algorithm that making better use of the ...
Zheng Jin-hua, Lai Nian
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A simplex genetic algorithm hybrid
Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), 2002One of the main obstacles in applying genetic algorithms (GAs) to complex problems has been the high computational cost due to their slow convergence rate. To alleviate this difficulty, we developed a hybrid approach that combines a GA with a stochastic variant of the simplex method in function optimization. Our motivation for developing the stochastic
John Yen, Bogju Lee
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