This paper presents an enhanced multi-objective grey wolf optimizer (EMOGWO) for multi-
objective service composition and optimal selection (MO-SCOS) problem in cloud …

Cloud manufacturing (CMfg), as a new service-oriented technology, is aiming towards
delivering on-demand manufacturing services over the internet by facilitating collaboration …

Abstract Service composition and optimal selection (SCOS) is a key problem in cloud
manufacturing (CMfg). The present study proposed a multi-objective hybrid artificial bee …

The process of service composition and optimal selection in cloud manufacturing (CMfg-
SCOS) involves three types of users: service demanders, resource providers, and cloud …

Cloud manufacturing service selection and scheduling (CMSSS) problem has obtained wide
attentions in recent years. However, most existing methods describe this problem as single …

This paper proposes a multi-objective hybrid artificial bee colony (MOHABC) algorithm for
service composition and optimal selection (SCOS) in cloud manufacturing, in which both the …

Green and sustainable manufacturing is an inevitable development trend of manufacturing
in the future, wherein low-energy consumption is regarded as a significant component. As …

Abstract Service composition and optimal selection (SCOS) is one of the key issues for
implementing a cloud manufacturing system. Exiting works on SCOS are primarily based on …

Cloud manufacturing, combining Web services via internet to a cooperative manufacturing
system, has been an increasing popularity for global manufacturing. It will unlock the …

Cloud manufacturing (CMfg) is a new paradigm that has been known as a promising
integrated technology in which distributed resources of manufacturing are integrated and …