Title :
A novel self-organizing quantum evolutionary algorithm for multi-objective optimization
Author :
Si, Lingling ; Shi, Leina ; Wang, Yanan
Author_Institution :
HanDan Coll., Handan, China
Abstract :
In this study, a self-organizing quantum evolutionary algorithm for multi-objective optimization (MSQEA) is proposed. Because of the quantum dynamic mechanism all the subpopulations may move concurrently in a force-field until all of them reach their equilibrium states. We estimate the performance of algorithm. The efficiency of the approach has been illustrated by applying to 0/1 Multi-objective knapsack problems. The results show that MSQEA can yield improvement in solution quality.
Keywords :
Algorithm design and analysis; Chaos; Concurrent computing; Convergence; Educational institutions; Educational technology; Evolutionary computation; Parallel processing; Performance analysis; Quantum computing; Dynamic Mechanism; Multi-objective Optimization; Quantum Evolutionary Algorithm;
Conference_Titel :
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location :
Qinhuangdao, China
Print_ISBN :
978-1-4244-7660-2
Electronic_ISBN :
978-1-4244-7662-6
DOI :
10.1109/ICENT.2010.5532255
