Zobrazeno 1 - 10
of 2 414
pro vyhledávání: '"Metaheuristic algorithm"'
Publikováno v:
Production Engineering Archives, Vol 30, Iss 4, Pp 477-490 (2024)
Vacuum freeze-dried fruit processes consisting of heating and holding are modelled as a mixed batch scheduling with the objective of minimizing the makespan. The jobs differ from each other in job family, size, weight and ready time. The batch proces
Externí odkaz:
https://doaj.org/article/b7efa84795ff4146a7a7475a0aa0b143
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 474-504 (2024)
Metaheuristic algorithms have become increasingly significant in solving complex optimization problems. To address the limitations of the original Aquila Optimizer (AO), such as insufficient local exploitation ability, low optimization precision, and
Externí odkaz:
https://doaj.org/article/53f812a1c82c4489a595f0f7f24f4266
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 150-168 (2025)
This paper introduces a novel metaheuristic algorithm, known as the efficient multiplayer battle game optimizer (EMBGO), specifically designed for addressing complex numerical optimization tasks. The motivation behind this research stems from the nee
Externí odkaz:
https://doaj.org/article/80c087f63d9f4730b9e61b5d9967ea75
Publikováno v:
Alexandria Engineering Journal, Vol 110, Iss , Pp 77-98 (2025)
This paper introduces a hierarchical RIME algorithm with multiple search preferences (HRIME-MSP) to tackle complex optimization problems. Although the original RIME algorithm is recognized as an efficient metaheuristic algorithm (MA), its reliance on
Externí odkaz:
https://doaj.org/article/db601a1467c541e189152f58b0621eae
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Due to the swift advancement of the Internet of Things (IoT), there has been a significant surge in the quantity of interconnected IoT devices that send and exchange vital data across the network. Nevertheless, the frequency of attacks on th
Externí odkaz:
https://doaj.org/article/1c974592b3b0474eb67b10218f5a83b0
Autor:
Binod Sapkota, Rijan Ghimire, Paras Pujara, Shashank Ghimire, Ujjwal Shrestha, Roshani Ghimire, Babu R. Dawadi, Shashidhar R. Joshi
Publikováno v:
Telecom, Vol 5, Iss 3, Pp 588-608 (2024)
The present research focuses on optimizing 5G base station deployment and visualization, addressing the escalating demands for high data rates and low latency. The study compares the effectiveness of Genetic Algorithm (GA), Particle Swarm Optimizatio
Externí odkaz:
https://doaj.org/article/703e5b0280634782b7e99a962a6e1493
Autor:
Loke Kok Foong, Vojtech Blazek, Lukas Prokop, Stanislav Misak, Farruh Atamurotov, Nima Khalilpoor
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
This paper investigates the application of three nature-inspired optimisation algorithms – SHO, MFO, and GOA – combined with four machine learning methods – Gaussian Processes, Linear Regression, MLP, and Random Forest – to enhance carbon dio
Externí odkaz:
https://doaj.org/article/a3277f92ba574c5ca1937d40543d1c74
Autor:
Jui-Sheng Chou, Asmare Molla
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges.
Externí odkaz:
https://doaj.org/article/a89177a6ee724f2181015b3ed5a67e08
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 11, Pp 102988- (2024)
The complexity of equivalent circuit models of photovoltaic cells and modules poses a difficult task to the parameter extraction methods. Teaching-learning-based optimization (TLBO) is a potent metaheuristic-based parameter extraction method, but it
Externí odkaz:
https://doaj.org/article/6b7ecd1ff6a2448fb80bce8f6bcb5728
Autor:
Ramazan Ozkan, Ruya Samli
Publikováno v:
PeerJ Computer Science, Vol 10, p e2278 (2024)
Metaheuristic algorithms are an important area of research that provides significant advances in solving complex optimization problems within acceptable time periods. Since the performances of these algorithms vary for different types of problems, ma
Externí odkaz:
https://doaj.org/article/af77c395e034417ebbc81d231464624f