Results 71 to 80 of about 51,530 (240)

Improving Wild Horse Optimizer: Integrating Multistrategy for Robust Performance across Multiple Engineering Problems and Evaluation Benchmarks

Mathematics, 2023
In recent years, optimization problems have received extensive attention from researchers, and metaheuristic algorithms have been proposed and applied to solve complex optimization problems. The wild horse optimizer (WHO) is a new metaheuristic algorithm
Lei Chen, Yikai Zhao, Yunpeng Ma, Bingjie Zhao, Changzhou Feng   +4 more
doaj   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

A Comparative Evaluation of Nature Inspired Algorithms for Telecommunication Network Design

Applied Sciences, 2020
The subject of the study was an application of nature-inspired metaheuristic algorithms to node configuration optimization in optical networks. The main objective of the optimization was to minimize capital expenditure, which includes the costs of ...
Stanisław Kozdrowski, Mateusz Żotkiewicz, Kacper Wnuk, Arkadiusz Sikorski, Sławomir Sujecki   +4 more
doaj   +1 more source

The fusion–fission optimization (FuFiO) algorithm

Scientific Reports, 2022
Fusion–Fission Optimization (FuFiO) is proposed as a new metaheuristic algorithm that simulates the tendency of nuclei to increase their binding energy and achieve higher levels of stability.
Behnaz Nouhi, Nima Darabai, Pooya Sareh, Hadi Bayazidi, Farhad Darabi, Siamak Talatahari   +5 more
doaj   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

Next Generation Metaheuristic: Jaguar Algorithm

IEEE Access, 2018
Metaheuristic algorithms are implemented to solve optimization problems and have recently received significant research attention. Metaheuristic algorithms rely primarily on two properties, exploration, and exploitation.
Yao-Hsin Chou, Shu-Yu Kuo, Li-Sheng Yang, Chia-Yun Yang   +3 more
doaj   +1 more source

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source