Title :
Quantum-Behaved Flower Pollination Algorithm
Author :
Kezhong Lu;Haibo Li
Author_Institution :
Dept. of Comput. Sci., Chizhou Univ., Chizhou, China
Abstract :
Flower Pollination algorithm (FPA) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called quantum-behaved flower pollination algorithm (QFPA) is proposed. The method combines the standard Flower Pollination algorithm (FPA) with the quantum-behaved search mechanism to improve the global searching ability and accuracy. The simulation experiments show that the proposed QFPA algorithm can improve the convergence speed and the quality of solutions effectively.
Keywords :
"Algorithm design and analysis","Optimization","Convergence","Standards","Clustering algorithms","Benchmark testing","Switches"
Conference_Titel :
Distributed Computing and Applications for Business Engineering and Science (DCABES), 2015 14th International Symposium on
DOI :
10.1109/DCABES.2015.24
