Journal ArticleDOI
A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition
Jiajun Zhou,Xifan Yao +1 more
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TLDR
This study proposes a new approach for CCSOS problems, the so-called hybrid artificial bee colony (HABC) algorithm, which employs both the probabilistic model of Archimedean copula estimation of distribution algorithm (ACEDA) and the chaos operators of global best-guided artificialbee colony to generate the offspring individuals with consideration of quality of service (QoS) and CMfg environment.Abstract:
With the advent of cloud manufacturing (CMfg), more and more services in CMfg platforms may provide the same functionality but differ in performance. In order to insure the manufacturing cloud to match the complicated task requirements, composited CMfg service optimal selection (CCSOS) is becoming increasingly important. This study proposes a new approach for such CCSOS problems, the so-called hybrid artificial bee colony (HABC) algorithm, which employs both the probabilistic model of Archimedean copula estimation of distribution algorithm (ACEDA) and the chaos operators of global best-guided artificial bee colony to generate the offspring individuals with consideration of quality of service (QoS) and CMfg environment. Different-scale CCSOS problems are adopted to evaluate the performance of the proposed HABC. Experimental results have shown that the HABC can find better solutions compared with such algorithms as genetic algorithm, particle swarm optimization, and basic artificial bee colony algorithm.read more
Citations
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Journal ArticleDOI
A systematic literature review on QoS-aware service composition and selection in cloud environment
TL;DR: This paper focuses to systematically categorize and evaluate the current research approaches and strategies on QoS-aware cloud service composition (published up to August 2017), and classifies the researches into two primary groups based on the environment of the problem.
Journal ArticleDOI
A comprehensive survey of ubiquitous manufacturing research
TL;DR: This paper summarises and analyses a broad range of the state-of-the-art implementation of UM systems from a holistic and comprehensive view of manufacturing technology, including UM for manufacturing processes, manufacturing control systems, logistics, remanufacturing, cloud manufacturing, production scheduling, production quality control and evaluation.
Journal ArticleDOI
An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing
TL;DR: This study improves the artificial bee colony (ABC) algorithm by introducing a synergetic mechanism for food source perturbation, a new diversity maintenance strategy, and a novel computing resources allocation scheme to handle complicated many-objective SCOS problems.
Journal ArticleDOI
Service optimal selection and composition in cloud manufacturing: a comprehensive survey
Hamed Bouzary,F. Frank Chen +1 more
TL;DR: The goal of this article is to provide a comprehensive highlight for researchers who are inspired to explore work in the related areas and acquaint them with related research work done to date on this NP-hard problem.
Journal ArticleDOI
Cloud manufacturing service selection optimization and scheduling with transportation considerations: mixed-integer programming models
TL;DR: In this paper, the authors proposed new mixed-integer programming (MIP) models for solving the service selection optimization and scheduling (SSOS) problem with basic composition structures (i.e., sequential, parallel, loop, and selective).
References
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Journal ArticleDOI
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
Journal ArticleDOI
On the performance of artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: The simulation results show that the performance of ABC algorithm is comparable to those of differential evolution, particle swarm optimization and evolutionary algorithm and can be efficiently employed to solve engineering problems with high dimensionality.
Journal ArticleDOI
QoS-aware middleware for Web services composition
Liangzhao Zeng,Boualem Benatallah,Anne H. H. Ngu,Marlon Dumas,Jayant R. Kalagnanam,Henry Chang +5 more
TL;DR: This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.
Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
TL;DR: Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.
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