肖菁, 陈凤莲, 汤健超. 基于蚁群算法的多目标优化技术研究[J]. 华南师范大学学报(自然科学版), 2014, 46(1): 1-6.
引用本文: 肖菁, 陈凤莲, 汤健超. 基于蚁群算法的多目标优化技术研究[J]. 华南师范大学学报(自然科学版), 2014, 46(1): 1-6.
Review on Multi-objective Ant Colony Optimization[J]. Journal of South China Normal University (Natural Science Edition), 2014, 46(1): 1-6.
Citation: Review on Multi-objective Ant Colony Optimization[J]. Journal of South China Normal University (Natural Science Edition), 2014, 46(1): 1-6.

基于蚁群算法的多目标优化技术研究

Review on Multi-objective Ant Colony Optimization

  • 摘要: 针对蚁群算法求解多目标优化的问题,在总结2007年以来多目标蚁群优化算法基础上,着重介绍当前多目标蚁群优化算法的研究热点:基于分解、基于种群和基于Pareto解集的多目标蚁群优化以及多目标蚁群算法的并行化实现,并对多目标蚁群算法未来发展方向进行了展望.

     

    Abstract: In order to study the problem of multi-objective optimization using ACO, literature review is conducted since 2007. The review classifies the literature in terms of decomposition-based, population-based, Pareto set-based and parallel implementation of ACO. The future work of ACO is also proposed

     

/

返回文章
返回