Consequently, developing a well-designed and practical multi-objective problem model becomes a critical factor influencing the performance of multi-objective channel selection algorithms.

This article comprehensively reviews the latest application progress of machine learning in multi-objective evolutionary algorithms for scheduling problems. We review various machine learning ...

MATLAB-based optimization framework for nanophotonic structures using multi-objective genetic algorithms integrated with Lumerical FDTD. Automatically tunes geometry to minimize propagation loss and ...

In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the\r\n process of natural selection that belongs to the larger class of evolutionary algorithms ...

Genetic Algorithm (GA) is a very popular evolutionary technique that has been used for single and multi-objective optimization problems. MATLAB, a widely used technical computing language, has its own ...

Here we present a new multi-objective genetic algorithm for the identification and removal of outliers based on the k nearest neighbors (k NN) method. The algorithm was used to remove outliers from ...