Hybrid Honey Bees Mating Optimization Algorithm for Identifying the Near-Optimal Solution in Web Service Composition
Viorica Rozina Chifu; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca ; Cristina Bianca Pop; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca ; Ioan Salomie; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca ; Emil Stefan Chifu; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca
Computing and Informatics, Tome 35 (2017) no. 4, / Harvested from Computing and Informatics
Text on Computing and Informatics
This paper addresses the problem of optimality in semantic Web service composition by proposing a hybrid nature-inspired method for selecting the optimal or near-optimal solution in semantic Web Service Composition. The method hybridizes the Honey-Bees Mating Optimization algorithm with components inspired from genetic algorithms, reinforcement learning, and tabu search. To prove the necessity of hybridization, we have analyzed comparatively the experimental results provided by our hybrid selection algorithm versus the ones obtained with the classical Honey Bees Mating Optimization algorithm and with the genetic-inspired algorithm of Canfora et al.
Publié le : 2017-12-19
Classification:  other areas of Computing and Informatics,  68T20 
@article{cai2017_5_1143,
     author = {Viorica Rozina Chifu; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca and Cristina Bianca Pop; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca and Ioan Salomie; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca and Emil Stefan Chifu; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca},
     title = {Hybrid Honey Bees Mating Optimization Algorithm for Identifying the Near-Optimal Solution in Web Service Composition},
     journal = {Computing and Informatics},
     volume = {35},
     number = {4},
     year = {2017},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai2017_5_1143}
}

Viorica Rozina Chifu; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca; Cristina Bianca Pop; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca; Ioan Salomie; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca; Emil Stefan Chifu; Tehnical University of Cluj-Napoca, Department of Computer Science, Cluj-Napoca. Hybrid Honey Bees Mating Optimization Algorithm for Identifying the Near-Optimal Solution in Web Service Composition. Computing and Informatics, Tome 35 (2017) no. 4, . http://gdmltest.u-ga.fr/item/cai2017_5_1143/