[HTML][HTML] CNV-MEANN: a neural network and mind evolutionary algorithm-based detection of copy number variations from next-generation sequencing data
T Huang, J Li, B Jia, H Sang - Frontiers in Genetics, 2021 - frontiersin.org
Copy number variation (CNV), is defined as repetitions or deletions of genomic segments of
1 Kb to 5 Mb, and is a major trigger for human disease. The high-throughput and low-cost …
1 Kb to 5 Mb, and is a major trigger for human disease. The high-throughput and low-cost …
Multiobjective Scheduling of Energy-Efficient Stochastic Hybrid Open Shop With Brain Storm Optimization and Simulation Evaluation
Recently, energy conservation in manufacturing industry, particular in energy-intensive
industries, receives much attention in order to meet the environmental protection and …
industries, receives much attention in order to meet the environmental protection and …
Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation
Y Yao, Q Wang, C Wang, X Li, L Gao, K Xia - Advanced Engineering …, 2024 - Elsevier
Energy-efficient production is a core requirement for manufacturing companies to transform
and upgrade. The popularity of mobile robots (MRs) has led to a closer relationship between …
and upgrade. The popularity of mobile robots (MRs) has led to a closer relationship between …
A wale optimization algorithm for distributed flow shop with batch delivery
Q Li, J Li, X Zhang, B Zhang - Soft Computing, 2021 - Springer
In this study, a distributed flow shop scheduling problem with batch delivery constraints is
investigated. The objective is to minimize the makespan and energy consumptions …
investigated. The objective is to minimize the makespan and energy consumptions …
[HTML][HTML] An imperialist competition algorithm using a global search strategy for physical examination scheduling
H Yu, J Li, L Zhang, P Duan - Applied Intelligence, 2021 - Springer
The outbreak of the novel coronavirus clearly highlights the importance of the need of
effective physical examination scheduling. As treatment times for patients are uncertain, this …
effective physical examination scheduling. As treatment times for patients are uncertain, this …
Hybrid artificial immune algorithm for energy-efficient distributed flexible job shop in semiconductor manufacturing
C Xiaolong, D Yu - Cluster Computing, 2024 - Springer
In semiconductor manufacturing, constraints, including multiple scheduling routes, complex
production processes, and robotic transportation, particularly bring difficult challenges to …
production processes, and robotic transportation, particularly bring difficult challenges to …
A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters
T Jiang, L Liu, H Zhu - Swarm and Evolutionary Computation, 2024 - Elsevier
Due to the increasing demand for green manufacturing, energy-saving scheduling problems
have garnered significant attention. These problems aim to reduce energy consumption at …
have garnered significant attention. These problems aim to reduce energy consumption at …
A hybrid complementary metaheuristic for VRPTW with product classification and pickup-delivery constraints
H Jin, J Li - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
With the emphasis of the exhaust gas emission of the transportation vehicles, the mode of
picking up and delivering products simultaneously has become a challenging issue in the …
picking up and delivering products simultaneously has become a challenging issue in the …
[HTML][HTML] A fast-flexible strategy based approach to solving employee scheduling problem considering soft work time
K Ma, C Yang, H Xu, H Lv, F Hong - Scientific Reports, 2024 - nature.com
Employee scheduling aims to assign employees to shifts to satisfy daily workload and
constraints. Some employee scheduling problems and their variants have been proven NP …
constraints. Some employee scheduling problems and their variants have been proven NP …
[HTML][HTML] A dimension-aware gaining-sharing knowledge algorithm for distributed hybrid flowshop scheduling with resource-dependent processing time
R Li, J Li, J Li, W Ouyang, L Mei - Complex & Intelligent Systems, 2024 - Springer
The resource-assisted processing operation involves the coupling of multi-dimensional sub-
problem, which poses a challenge in scheduling system. In this study, a dimension-aware …
problem, which poses a challenge in scheduling system. In this study, a dimension-aware …