This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

Compiler optimization space gradually expands with the renewed compiler options and inclusion of new architectures. These advancements bring autotuning even more important position. In this paper, we ...

MATLAB and Hspice integration. Contribute to abiysr/Yield-Optimization-of-Analog-Circuits-using-Evolutionary-Algorithm development by creating an account on GitHub.

However, a major problem with this kind of application is in gain optimization. The objectives of this research are to develop a hybrid controller of Fuzzy-PID optimized by Genetic Algorithm cascaded ...

With performance statistics, this paper provides a comparison of particle swarm optimization (PSO) and genetic algorithm (GA) optimization methodologies. With assaults like pepper, Gaussian, speckle, ...

To overcome these challenges, we have developed the Molecular multiobjective optimization of Monte Carlo Tree Search (MCTS) and Non-Superiority Ranking Genetic Algorithm II (NSGA-II)-MNopt, which ...