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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 ...
Abstract: In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these ...
1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...
Abstract: This paper presents an Improved Multi-Objective Quantum Genetic Algorithm (IMQGA) for solving the environmental economic dispatch (EED) problem in power systems. IMQGA improves the ...
College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional ...
$10 Million Acquisition Bolsters FITY's Leadership with Dr. Gennaro D'Urso as CEO and Chairman MELBOURNE, Fla., March 20, 2025 (GLOBE NEWSWIRE) -- via IBN-- Fifty 1 Labs, Inc. (OTC: FITY), a Nevada ...
The tuned mass damper is one of the most frequently employed structural control devices for mitigating dynamic vibrations in structures subjected to earthquake ground motions. Conventional tuned mass ...
For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...
ABSTRACT: Future energy descent systems will be expected to be controlled by the using of renewable power sources of which wind energy is one of the favorable sources. This paper treats with the ...
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