Unlike single objective optimization algorithm, solving multi-objective problem (MOP) is a complex task. The solution of a multi-objective optimization problem is a set of solutions, called the Pareto ...

A hybrid optimization strategy combining a high-fidelity geometric sonar model and a Genetic Algorithm for efficient AUV coverage path planning in complex bathymetric surveys.

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...

In band-limited digital communications, SquareRoot Nyquist (SR-NYQ) filters are commonly utilized at both the transmitter and receiver to effectively minimize sampling intersymbol interference (ISI).