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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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Hybrid Dysfunction: Population Genetic and Quantitative Genetic Perspectives
The American Naturalist, 2008In the wake of seminal work by Dobzhansky and Muller, hybrid dysfunction is usually attributed to incompatible mutations in different genes arising in different populations. This Dobzhansky-Muller (D-M) model is among the most important contributions of theoretical population genetics.
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Utilizing Hybrid Genetic Algorithms
2006Genetic algorithms (GAs) have been shown to be quite effective at solving a wide range of difficult problems. They are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region in which the algorithm converges.
Jeffrey A. Joines, Michael G. Kay
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Hybrid Neural Genetic Architecture
2013The objective is a neural-based feature selection in intelligent recommender systems. In particular, a hybrid neural genetic architecture is modeled based on human nature, interactions, and behaviour. The main contribution of this chapter is the development of a novel genetic algorithm based on human nature, interactions, and behaviour.
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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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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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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 ...
Lai Nian, Zheng Jinhua
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2014
Real coded Genetic Algorithms (GAs) are the most effective and popular techniques for solving continuous optimization problems. In the recent past, researchers used the Laplace Crossover (LX) and Power Mutation (PM) in the GA cycle (namely LX-PM) efficiently for solving both constrained and unconstrained optimization problems.
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Real coded Genetic Algorithms (GAs) are the most effective and popular techniques for solving continuous optimization problems. In the recent past, researchers used the Laplace Crossover (LX) and Power Mutation (PM) in the GA cycle (namely LX-PM) efficiently for solving both constrained and unconstrained optimization problems.
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An Efficient Hybridized Genetic Algorithm
2018 IEEE International Conference of Safety Produce Informatization (IICSPI), 2018Aiming 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 ...
Kun Li, Liwei Jia, Xiaoming Shi
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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
null John Yen, null Bogju Lee
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Genetic identification of hybrid camelids
Zoo Biology, 1986AbstractNorth American zoos in 1984 had the first opportunity in many years to obtain South American camelids after a long embargo on imports. The Rio Grande Zoo in Albuquerque, New Mexico, purchased two alpacas and one presumptive llama during this period. The llama, however, appeared to be phenotypically intermediate between a llama and an alpaca. In
Edward J. Gentz, Terry L. Yates
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