In this paper, genetic algorithms are applied to the direction finding of adaptive antenna arrays in the presence of mutual coupling. The received signals are compensated to eliminate the distortion due to mutual coupling effects. The compensation in this study is based on the concepts of moment ...
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropriate search direction T Murata - Springer 被引量: 268发表: 2001年 Genetic algorithms vs. Tabu search in timetable sch...
finding the minimum or maximum of a function. Genetic algorithms are one of the search and optimisation methods. The aim of optimisation is to increase efficiency in reaching a certain optimal value. Genetic algorithms are based on the mechanisms of natural selection and heredity. The basic ...
Genetic risk prediction studies typically concern the development and/or evaluation of models for the prediction of a particular health outcome, but there is considerable variation in their design, conduct and analysis. Genetic risk models most frequently predict risk of disease, but they are also be...
Ligand GA is introduced in this work and approaches the problem of finding small molecules inhibiting protein functions by using the protein site to find close to optimal or optimal small molecule binders. Genetic algorithms (GA) are an effective means for approximating or solving computationally hard...
Look locally to see what direction to move in (based on the gradient of the function at the current solution) Select the new current solution after deciding how far to move along that path These algorithms work remarkably well for a great majority of practical problems. We’ll revisit this ...
This is the second article in the series, Genealogy Proof Series. The first article is: Genealogy Proof Series: Gathering Location Resources The first article discussed finding location resources for where your ancestor may have lived. Of course, once you find those resources, you’ll want to ...
Genetic Algorithms - Introduction - Genetic Algorithm (GA) is a search-based optimization technique based on the principles of Genetics and Natural Selection. It is frequently used to find optimal or near-optimal solutions to difficult problems which oth
Risk behaviours are common in adolescent and persist into adulthood, people who engage in more risk behaviours are more likely to have lower educational attainment. We applied genetic causal inference methods to explore the causal relationship between ad
Beal MJ (2003) Variational algorithms for approximate Bayesian inference. University of London, University College London, United Kingdom Google Scholar Beaumont MA (2005) Adaptation and speciation: what can Fst tell us? Trends Ecol Evol 20:435–440. https://doi.org/10.1016/j.tree.2005.05.017...