The statistical probability of the estimation result proves that the AGA, compared with the standard genetic algorithm (SGA), has the ability of sustainable evolution and well convergence in the high ...

moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

During the process of determining the arrival directions and beam conformation at the antennas, different types of algorithms can be used, namely deterministic algorithms and heuristics. Genetic ...

ICDNSGA incorporates a population-based adaptive normalization strategy, improving algorithm convergence and solution diversity. Experimental results show that ICDNSGA outperforms pure matrix ...

The algorithm combines the advantages of the two algorithms; convergence speed is fast, and at the same time, it has a good global optimization ability; through three different time periods and ...

But, the conventional AGA methodology is still unsatisfactory in sufficiently improving the algorithm convergence speed. To deal with such aforementioned drawbacks, an improved adaptive technology, ...

The proposed algorithmsare compared to simple genetic algorithms by using various mathematical and engineering design test problems. The results show that twinkling genetic algorithms have the ability ...