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Chen Ji1, Linjie Wu1, Tianhao Zhao1
1Shanxi Key Laboratory of Big Data Analysis and Parallel Computing, Taiyuan University of Science and Technology, Taiyuan, ShanXi, China.
本研究引入了一种新的双种群进化算法,用于解决复杂的受约束的多目标优化问题 (CMaOPs). 这种新的方法有效地识别了具有挑战性的受约束的帕雷托边界 (CPF),提高了优化性能.
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