MOBCA:

Jianhua Jiang1,2, Jiaqi Wu1,2, Jinmeng Luo1,2

  • 1Center for Artificial Intelligence, Jilin University of Finance and Economics, Changchun 130117, China.

概括

本研究介绍了一种新的多目标围攻和征服 (BCA) 算法,用于复杂的优化任务. 新的BCA算法有效地估计了帕雷托的最佳解决方案,在多目标优化问题中展示了具有竞争力的准确性.

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