Abstract: This study focuses on the optimization analysis of crop cultivation in mountainous villages using genetic algorithm and Monte Carlo simulation, aiming to formulate the optimal crop ...

Abstract: This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Among the largest university presses in the world, The MIT Press publishes over 200 new books each year along with 30 journals in the arts and humanities, economics, international affairs, history, ...

This is a preview. Log in through your library . Abstract This study proposes a relatively simple computational model of organizational evolution based on the genetic algorithm. The model includes ...

The compounds that emerge aren't just theoretical curiosities. They're synthesised and tested, and one targeting fibrosis ...

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 ...

Artificial intelligence is now better than humans at identifying many patterns, but evolutionary relationships have always ...

This repository is the official PyTorch implementation of MENTOR. MENTOR is a highly efficient visual RL algorithm that excels in both simulation and real-world ...

Building an integrated "source-grid-load-storage" system (hereinafter referred to as the integrated system) in areas rich in ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...