Zobrazeno 1 - 10
of 2 055
pro vyhledávání: '"Hyper-heuristic"'
Autor:
Safiqul Islam, Mahadi Ahammed, Nura Alam Siddique, Palash Roy, Md. Abdur Razzaque, Mohammad Mehedi Hassan, Kashif Saleem
Publikováno v:
IEEE Access, Vol 12, Pp 72746-72765 (2024)
The $5^{th}$ Generation (5G) Mobile Edge Computing (MEC) addresses the problem of high end-to-end delay experienced by traditional cloud computing users by ensuring fast accessible and reliable computing resources. However, the deployment of service
Externí odkaz:
https://doaj.org/article/aef1da23ae864d729fd859d61188de3d
Autor:
Erick Rodriguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Arka Ghosh
Publikováno v:
IEEE Access, Vol 12, Pp 29503-29524 (2024)
Due to rising consumer demand and traffic congestion, last-mile logistics is becoming more challenging. To optimize urban distribution networks, digital image processing plays a key role in addressing these challenges through efficient traffic monito
Externí odkaz:
https://doaj.org/article/6f1a688043b74ef388a2973c9b72934e
Autor:
Deliktaş, Derya, Aydin, Dogan
Publikováno v:
Engineering Computations, 2023, Vol. 40, Issue 9/10, pp. 2453-2482.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-02-2023-0075
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-21 (2023)
Abstract This paper proposes a novel surrogate ensemble-assisted hyper-heuristic algorithm (SEA-HHA) to solve expensive optimization problems (EOPs). A representative HHA consists of two parts: the low-level and the high-level components. In the low-
Externí odkaz:
https://doaj.org/article/fd4bbea722a24b5ea51986c78fc2620d
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1201 (2024)
Accurate recognition and prediction of the multi-level handling complexity in automated container terminals (referred to as “automated terminals”) is a prerequisite for improving the effectiveness of scheduling and realizing intelligent operation
Externí odkaz:
https://doaj.org/article/2066442ae31c44288c14dd3247fc34e2
Publikováno v:
Biomimetics, Vol 9, Iss 6, p 350 (2024)
Causal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning. However, a
Externí odkaz:
https://doaj.org/article/7cbf5faa9d6a4b74891b03175be80b9e
Publikováno v:
IEEE Access, Vol 11, Pp 139575-139586 (2023)
Transportation wastage is inevitable during transportation. With the emergence of container transportation, the transportation wastage generated by most cargo through container transportation has been greatly reduced. However, for products such as gr
Externí odkaz:
https://doaj.org/article/c8bce20d2b5547d4b2d80bfdae629f60
Publikováno v:
IEEE Access, Vol 11, Pp 100355-100370 (2023)
Syndrome types are important for diagnosis and treatment in traditional Chinese medicine. Syndrome types can be summarized by domain experts as formula clusters. In this paper, we propose seven feature models for the formula clustering problem based
Externí odkaz:
https://doaj.org/article/a95026099e184923b2e135a04afd7081
Publikováno v:
Axioms, Vol 13, Iss 1, p 59 (2024)
Differential evolution (DE) is one of the most promising black-box numerical optimization methods. However, DE algorithms suffer from the problem of control parameter settings. Various adaptation methods have been proposed, with success history-based
Externí odkaz:
https://doaj.org/article/3c87ec7a4b92484abe7646691848b00b
Autor:
Jiayi Han, Shinya Watanabe
Publikováno v:
Biomimetics, Vol 8, Iss 7, p 521 (2023)
A multi-objective evolutionary algorithm based on decomposition (MOEA/D) serves as a robust framework for addressing multi-objective optimization problems (MOPs). However, it is widely recognized that the applicability of a fixed offspring-generating
Externí odkaz:
https://doaj.org/article/c473ffcda3584d11ae93363c4e1b2ca5