Service optimal selection and composition in cloud manufacturing: a comprehensive survey
H Bouzary, F Frank Chen - The International Journal of Advanced …, 2018 - Springer
With the rapid development of cloud manufacturing (CMfg) as a new service-oriented
manufacturing paradigm, a considerable progress has been made in research of different …
manufacturing paradigm, a considerable progress has been made in research of different …
A comprehensive survey of ubiquitous manufacturing research
In the past 10 years, ubiquitous manufacturing (UM) has received a growing amount of
attention among researchers in the manufacturing community because ubiquitous …
attention among researchers in the manufacturing community because ubiquitous …
Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning
H Liang, X Wen, Y Liu, H Zhang, L Zhang… - Robotics and Computer …, 2021 - Elsevier
Cloud manufacturing is a new manufacturing model that aims to provide on-demand
manufacturing services to consumers over the Internet. Service composition is an essential …
manufacturing services to consumers over the Internet. Service composition is an essential …
An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing
Y Yang, B Yang, S Wang, T Jin, S Li - Applied Soft Computing, 2020 - Elsevier
This paper presents an enhanced multi-objective grey wolf optimizer (EMOGWO) for multi-
objective service composition and optimal selection (MO-SCOS) problem in cloud …
objective service composition and optimal selection (MO-SCOS) problem in cloud …
Evolving Marine Predators Algorithm by dynamic foraging strategy for real-world engineering optimization problems
B Shen, M Khishe, S Mirjalili - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract The Marine Predators Algorithm (MPA) is a novel hunting-based optimizer. The
MPA's central concept is based on the well-known Lévy Flight (LF) and Brownian Motion …
MPA's central concept is based on the well-known Lévy Flight (LF) and Brownian Motion …
Service composition model and method in cloud manufacturing
M Yuan, Z Zhou, X Cai, C Sun, W Gu - Robotics and Computer-Integrated …, 2020 - Elsevier
This study optimizes service composition on the basis of task requirements to solve the
problem of multitask corresponding multi-service selection. First, the basic path structure and …
problem of multitask corresponding multi-service selection. First, the basic path structure and …
Survey of lévy flight-based metaheuristics for optimization
J Li, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …
a high probability. The probability density distribution of Lévy flight was characterized by …
Consensus aware manufacturing service collaboration optimization under blockchain based Industrial Internet platform
To realize collaboration among distributed enterprises, manufacturing service collaboration
on Industrial Internet platform is an efficient method. However, the low degree of …
on Industrial Internet platform is an efficient method. However, the low degree of …
An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system
This paper proposes an improved artificial bee colony (IABC) algorithm for addressing the
distributed flow shop considering the distance coefficient found in precast concrete …
distributed flow shop considering the distance coefficient found in precast concrete …
A dynamic ant-colony genetic algorithm for cloud service composition optimization
Y Yang, B Yang, S Wang, F Liu, Y Wang… - The International Journal …, 2019 - Springer
At present, as the candidate services in the cloud service pool increase, the scale of the
service composition increases rapidly. When the existing intelligent optimization algorithms …
service composition increases rapidly. When the existing intelligent optimization algorithms …