Zobrazeno 1 - 10
of 1 493
pro vyhledávání: '"multi-population"'
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-23 (2024)
Abstract Background The efficiency of medical services directly impacts the economic burden of healthcare, making it crucial to analyze the input-output efficiency of various types of medical institutions. However, while hospitals had been extensivel
Externí odkaz:
https://doaj.org/article/f7d7d8ff0db444f18b0f3327f63061f4
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6839-6865 (2024)
Abstract The primary objective of multi-objective evolutionary algorithms (MOEAs) is to find a set of evenly distributed nondominated solutions that approximate the Pareto front (PF) of a multi-objective optimization problem (MOP) or a many-objective
Externí odkaz:
https://doaj.org/article/a0011dfdaf454f1992ddd309c88fd138
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 4, Pp 947-962 (2024)
The application of genetic algorithm in multi-path coverage testing is a research hotspot. In the process of iteration between the old and new populations, the old population may contain excellent individuals from other sub-populations, which are not
Externí odkaz:
https://doaj.org/article/81f8a5d37ad244afa056fbfd16219685
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4083-4101 (2024)
Abstract The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs cutting-edge approaches. It is a recent extension of standard flexible job shop scheduling problems.
Externí odkaz:
https://doaj.org/article/af1a7fb6a83f4f46b207e5f492e4a96c
Autor:
Kei Nishihara, Masaya Nakata
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3633-3656 (2024)
Abstract In the field of expensive optimization, numerous papers have proposed surrogate-assisted evolutionary algorithms (SAEAs) for a few thousand or even hundreds of function evaluations. However, in reality, low-cost simulations suffice for a lot
Externí odkaz:
https://doaj.org/article/00bc94bbde3642d3a80c57832a8ec6a7
Publikováno v:
IEEE Access, Vol 12, Pp 96878-96892 (2024)
Droughts typically develop gradually, and early prediction is crucial for the government to formulate effective mitigation plans. Our approach does not involve predicting specific drought index values. Instead, we forecast whether a particular year w
Externí odkaz:
https://doaj.org/article/89680ce00ff549ab840fa201865d4ee0
Publikováno v:
Engineering Computations, 2023, Vol. 40, Issue 9/10, pp. 2248-2269.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-12-2022-0712
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100344- (2024)
Listeriosis is a food-borne disease that mainly affects pregnant women and newborns. We propose and analyze a deterministic model of Listeriosis by considering three groups of individuals: newborns, pregnant women, and others. Mathematical analysis o
Externí odkaz:
https://doaj.org/article/592d9a90846e459eba551dacd26c2153
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 1845-1877 (2023)
Abstract The introduction of a multi-population structure in differential evolution (DE) algorithm has been proven to be an effective way to achieve algorithm adaptation and multi-strategy integration. However, in existing studies, the mutation strat
Externí odkaz:
https://doaj.org/article/4e48b32ab3d54ea78536314554829b60
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2570 (2024)
To overcome the limitations of single-type intelligent optimization algorithms prone to becoming stuck in local optima for complex problems, a hybrid intelligent optimization algorithm named SDIQ is proposed. This algorithm combines simulated anneali
Externí odkaz:
https://doaj.org/article/c9451f9686af4b49b0a6dc588042acb6