Results 71 to 80 of about 46,625 (244)

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

Recent Advances in Metaheuristic Algorithms

Algorithms
This paper presents a review of recent advancements in metaheuristic algorithms, emphasizing their broad applicability across research domains and the performance improvements achieved through their derived variants.
Tomislav Ivanovski, Marija Brkić Bakarić, Maja Matetić   +2 more
doaj   +1 more source

The Vehicle Routing Problem with Service Level Constraints

, 2017
We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services ...
Bulhões, Teobaldo, Hà, Minh Hoàng, Martinelli, Rafael, Vidal, Thibaut   +3 more
core   +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

Multi-Strategy Enhanced Crested Porcupine Optimizer: CAPCPO

Mathematics
Metaheuristic algorithms are widely used in engineering problems due to their high efficiency and simplicity. However, engineering challenges often involve multiple control variables, which present significant obstacles for metaheuristic algorithms.
Haijun Liu, Rui Zhou, Xiaoyong Zhong, Yuan Yao, Weifeng Shan, Jing Yuan, Jian Xiao, Yan Ma, Kunpeng Zhang, Zhibin Wang   +9 more
doaj   +1 more source

Gold Rush Optimizer. A New Population-Based Metaheuristic Algorithm [PDF]

Operations Research and Decisions, 2023
Today's world is characterised by competitive environments, optimal resource utilization, and cost reduction, which has resulted in an increasing role for metaheuristic algorithms in solving complex modern problems. As a result, this paper introduces the
Kamran Zolfi
doaj  

Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters

International Journal of Photoenergy, 2021
The parameters of the photovoltaic cells and panels are very important to forecast the power generated. There are a lot of methods to extract the parameters using analytical, metaheuristic, and hybrid algorithms.
Daniel T. Cotfas, Petru A. Cotfas, Mihai P. Oproiu, Paul A. Ostafe   +3 more
doaj   +1 more source

State Transition Algorithm

, 2012
In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization problems, four special transformation operators called rotation ...
A. H. Wright, A. K. Qin, C. Hamzacebi, C. Hamzacebi, D. D. Burgess, D. E. Goldberg, D. H. Wolpert, D. W. Stroock, F. J. Solis, F. V. Berth, G. Albeanu, G. Rudolph, H. A. Abbass, J. A. Nelder, J. C. Lagarias, J. J. Liang, J. Kennedy, J. Matyas, J. Y. Li, K. Deb, K. F. C. Yiu, P. Collet, R. C. Eberhart, R. Hooke, R. Storn, T. D. Tran, T. W. Leung, T. Zhang, X. J. Zhou, X. J. Zhou, X. S. Yang, Y. H. Shi, Y. X. Yuan, Z. Michalewicz   +33 more
core   +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

Farmer Ants Optimization Algorithm: A Novel Metaheuristic for Solving Discrete Optimization Problems

Information
Currently, certain complex issues are classified as NP-hard problems, for which there is no exact solution, or they cannot be solved in a reasonable amount of time. As a result, metaheuristic algorithms have been developed as an alternative.
Ali Asghari, Mahdi Zeinalabedinmalekmian, Hossein Azgomi, Mahmoud Alimoradi, Shirin Ghaziantafrishi   +4 more
doaj   +1 more source