Evolving interpretable decision trees for reinforcement learning
In recent years, reinforcement learning (RL) techniques have achieved great success in
many different applications. However, their heavy reliance on complex deep neural …
many different applications. However, their heavy reliance on complex deep neural …
Optimal power flow using improved cross-entropy method
H Su, Q Niu, Z Yang - Energies, 2023 - mdpi.com
An improved cross-entropy (CE) method assisted with a chaotic operator (CGSCE) is
presented for solving the optimal power flow (OPF) problem. The introduction of the chaotic …
presented for solving the optimal power flow (OPF) problem. The introduction of the chaotic …
Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm
In the last years, distributed clean energy resources such as solar irradiation, wind
generation and electric vehicles as dispatchable units have been targeted as alternatives to …
generation and electric vehicles as dispatchable units have been targeted as alternatives to …
Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization
S Farahmand-Tabar, P Ashtari - Swarm and Evolutionary Computation, 2024 - Elsevier
Abstract Machine Learning (ML) features are extensively applied in various domains,
notably in the context of Metaheuristic (MH) optimization methods. While MHs are known for …
notably in the context of Metaheuristic (MH) optimization methods. While MHs are known for …
[HTML][HTML] Revolutionizing smart grid-ready management systems: A holistic framework for optimal grid reliability
A El Maghraoui, H El Hadraoui, Y Ledmaoui… - … Energy, Grids and …, 2024 - Elsevier
Existing energy management systems are becoming increasingly insecure and inefficient
due to the rapid adoption of smart grid technology. Current research indicates that effectively …
due to the rapid adoption of smart grid technology. Current research indicates that effectively …
Gaussian cross-entropy and organizing intelligence for design optimization of the outrigger system with inclined belt truss in real-size tall buildings
S Farahmand-Tabar, P Ashtari, M Babaei - Probabilistic Engineering …, 2024 - Elsevier
This research explores the optimal structural design for tall buildings with an outrigger and
belt truss system. The study employs Gaussian Cross-Entropy with Organizing Intelligence …
belt truss system. The study employs Gaussian Cross-Entropy with Organizing Intelligence …
Optimal Power Flow Analysis Using Pelican Optimization Algorithm
This research paper introduces a highly effective and dependable method for addressing
the optimal power flow (OPF) issues with application of an evolutionary-based approach. In …
the optimal power flow (OPF) issues with application of an evolutionary-based approach. In …