A Novel Self-organizing Quantum Evolutionary Algorithm for Multi-objective Optimization

摘要：

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.

关键词： Index Terms—Quantum Evolutionary Algorithm Multiobjective Optimization Dynamic Mechanism

作者: Lingling Si Leina Shi Yanan Wang

作者单位: HanDan College

会议类型: 国际会议

会议名称: 2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 499-503

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）