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 ...
One difficulty often encountered in genetic programming is that of the algorithms becoming stuck in the region of a reasonably good solution (a “locally optimal region”) rather than finding the best solution (a “global optimum”). Overcoming such evolutionary dead ends sometimes requires human in...
Genetic algorithms cannot entirely automate the process of finding the best configuration. “The genetic algorithm can provide a good starting point,” said Crossley. “But fine tuning or refinement need to be done to obtain the best final solution.” The approach is already used to solve similar...
Explore the basics of Genetic Algorithms, their principles, and how they can be applied in problem-solving and optimization.
51and photonic crystals design with engineered dispersion52. They have also been applied towards experimental optimization, such as for increasing the conversion efficiency of dispersive wave generation53. In contrast to conventional gradient-based optimization algorithms41, GAs are highly effective in ...
‘Disruptive’ variants were those variants classified as frameshift, splice site, exon loss, stop gained, start loss and transcription ablation by SnpEff66.‘Damaging’ variants were missense variants predicted to be damaging by seven prediction algorithms (SIFT67, PolyPhen-2 (ref. 68), LRT69, ...
This paper proposes for the first time the micromixer optimization method that combines the fractal principle and multi-objective optimization based on intelligent algorithms. We study the multi-objective optimization23,24,25,26 of the micromixer based on Cantor fractal baffle to find the micromixer ...
Cliff is a function of unitation with the difficulty that inferior solutions need to be accepted in order to advance towards the global optimum (unless the algorithm jumps to the optimum directly). In other words, algorithms need to be able to “jump down” a cliff in the fitness landscape...
Pooled CRISPR screens with single-cell RNA sequencing readout (Perturb-seq) have emerged as a key technique in functional genomics, but they are limited in scale by cost and combinatorial complexity. In this study, we modified the design of Perturb-seq by incorporating algorithms applied to rand...
(3) Accelerated genetic algorithms are able to speed up convergence in each generation iteration and improve the efficiency of finding optimal projections by using genetic operations such as crossover and mutation to complete the optimization process in a limited amount of time. In this paper, an ...