Journal of Global Optimization
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Introduction to Probability Models, Ninth Edition
Introduction to Probability Models, Ninth Edition
Constrained optimization using multiple objective programming
Journal of Global Optimization
Genetic algorithm-based optimization of service composition and deployment
Proceedings of the 3rd international workshop on Services integration in pervasive environments
Multiobjective Optimization of SLA-Aware Service Composition
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Independent Global Constraints-aware Web Service Composition Optimization Based on Genetic Algorithm
IIS '09 Proceedings of the 2009 International Conference on Industrial and Information Systems
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
QoS-aware service composition using NSGA-II1
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Recent advances in differential evolution: a survey and experimental analysis
Artificial Intelligence Review
Applying multi-objective evolutionary algorithms to QoS-aware web service composition
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
QoS-based service optimization using differential evolution
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A review of multiobjective test problems and a scalable test problem toolkit
IEEE Transactions on Evolutionary Computation
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
IEEE Transactions on Evolutionary Computation
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QoS aware service composition is one of the main research problem related to Service Oriented Computing (SOC). A certain functionality may be offered by several services having different Quality of Service (QoS) attributes. Although the QoS optimization problem is multiobjective by its nature, most approaches are based on single-objective optimization. Compared to single-objective algorithms, multiobjective evolutionary algorithms have the main advantage that the user has the possibility to select a posteriori one of the Pareto optimal solutions. A major challenge that arises is the dynamic nature of the problem of composing web services. The algorithms performance is highly influenced by the parameter settings. Manual tuning of these parameters is not feasible. An evolutionary multiobjective algorithm based on decomposition for solving this problem is proposed. To address the dynamic nature of this problem we consider the hybridization between an adaptive heuristics and the multiobjective algorithm. The proposed approach outperforms state of the art algorithms.