Zobrazeno 1 - 10
of 31 157
pro vyhledávání: '"LOCAL SEARCH"'
Autor:
Dakiche, Narimene, Benatchba, Karima, Slimani, Yahya, Brahmi, Mehdi Anis, Benbouzid-Si Tayeb, Fatima
Publikováno v:
Journal of Systems and Information Technology, 2024, Vol. 26, Issue 4, pp. 586-613.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JSIT-02-2021-0024
Autor:
Seyed Jalaleddin Mousavirad, Khosro Rezaee, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Davood Zabihzadeh, Mehran Pourvahab, Diego Oliva
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 126-143 (2024)
Despite the effectiveness of deep neural networks, feed-forward neural networks (FFNNs) continue to play a crucial role in many applications, especially when dealing with limited data availability. The primary challenge in FFNNs is determining the op
Externí odkaz:
https://doaj.org/article/259dc2a20cfa4481b1f8ed13b3fbca91
Autor:
Ahmed Abdulmunem Hussein
Publikováno v:
Jurnal Sisfokom, Vol 13, Iss 3, Pp 388-395 (2024)
This paper addresses the Hybrid Flow Shop Scheduling Problem (HFSSP) by integrating metaheuristic (MHs) and machine learning (ML) approaches. Specifically, we propose a hybrid algorithm by combining Ant Colony Optimization (ACO) and Iterated Local Se
Externí odkaz:
https://doaj.org/article/dc8bcbfd205146f9b7f672dc6b593b21
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:
Future Transportation, Vol 4, Iss 3, Pp 1000-1021 (2024)
The swap-body vehicle routing problem (SBVRP) represents a specialized extension of the traditional vehicle routing problem (VRP), incorporating additional practical complexities. Effective fuel consumption management and the scheduling of multiple v
Externí odkaz:
https://doaj.org/article/7e39864629504d8fb140cc1a217f9965
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The objective measurements of the real-world optimization problems are mostly subject to noise which occurs due to several reasons like human measurement or environmental factors. The performance of the optimization algorithm gets affected i
Externí odkaz:
https://doaj.org/article/e847baed0e934e99a93b1ba34bc515a0
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Vehicle Routing Problem with Uncertain Demands (VRPUD) is one of the research hotspots in the field of logistics scheduling. In this paper, a Discrete Jaya (DJaya) algorithm is presented for the VRPUD to minimize the total cost. A novel dividing-poin
Externí odkaz:
https://doaj.org/article/34d4c3732517454ab95cacff95093f04
Publikováno v:
SolarPACES Conference Proceedings, Vol 2 (2024)
The present work summarizes the work done within the scope of CATION, CHLOE, and HECTOR projects related to the aiming point strategies optimization algorithms applied to volumetric solar receivers. Several optimization methods have been applied in t
Externí odkaz:
https://doaj.org/article/0ade1884012945c3aa84603805d5af45
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 20516-20538 (2024)
With the growth of online networks, understanding the intricate structure of communities has become vital. Traditional community detection algorithms, while effective to an extent, often fall short in complex systems. This study introduced a meta-heu
Externí odkaz:
https://doaj.org/article/551792b9e33b4beca56b22b770a6ffe4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract As a preprocessing for machine learning and data mining, Feature Selection plays an important role. Feature selection aims to streamline high-dimensional data by eliminating irrelevant and redundant features, which reduces the potential curs
Externí odkaz:
https://doaj.org/article/995bf19c4b53474eb00649525ce0f190