Constraint satisfaction in logic programming
Constraint satisfaction in logic programming
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
Constraint Driven Web Service Composition in METEOR-S
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
QoS Aggregation in Web Service Compositions
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
QoS-Aware Replanning of Composite Web Services
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Evolutionary Computation
Heuristics for QoS-aware Web Service Composition
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Adaptive Service Composition in Flexible Processes
IEEE Transactions on Software Engineering
Multi-objective genetic algorithms: Problem difficulties and construction of test problems
Evolutionary Computation
Complexity and composition of synthesized web services
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
An Agent-Based Hybrid System for Microarray Data Analysis
IEEE Intelligent Systems
Service selection algorithms for composing complex services with multiple qos constraints
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Equitable solutions in QoS-aware service optimization
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Adaptive MOEA/D for QoS-based web service composition
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
| Hi-index | 0.00 |
Finding optimal solutions for QoS-aware Web service composition with conflicting objectives and various restrictions on quality matrices is a NP-hard problem. This paper proposes the use of multi-objective evolutionary algorithms (MOEAs for short) for QoS-aware service composition optimisation. More specifically, SPEA2 is introduced to achieve the goal. The algorithm is good at dealing with multi-objective combinational optimisation problems. Experimental results reveal that SPEA2 is able to approach the Pareto-optimal front with well spread distribution. The Pareto front approximations provide different trade-offs, from which the end-users may select the better one based on their preference.