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Disruption-Based Multiobjective Equilibrium Optimization Algorithm
Computational Intelligence and Neuroscience ( IF 3.120 ) Pub Date : 2020-12-01 , DOI: 10.1155/2020/8846250 Hao Chen 1, 2, 3 , Weikun Li 2, 3 , Weicheng Cui 2, 3
Computational Intelligence and Neuroscience ( IF 3.120 ) Pub Date : 2020-12-01 , DOI: 10.1155/2020/8846250 Hao Chen 1, 2, 3 , Weikun Li 2, 3 , Weicheng Cui 2, 3
Affiliation
Nature-inspired computing has attracted huge attention since its origin, especially in the field of multiobjective optimization. This paper proposes a disruption-based multiobjective equilibrium optimization algorithm (DMOEOA). A novel mutation operator named layered disruption method is integrated into the proposed algorithm with the aim of enhancing the exploration and exploitation abilities of DMOEOA. To demonstrate the advantages of the proposed algorithm, various benchmarks have been selected with five different multiobjective optimization algorithms. The test results indicate that DMOEOA does exhibit better performances in these problems with a better balance between convergence and distribution. In addition, the new proposed algorithm is applied to the structural optimization of an elastic truss with the other five existing multiobjective optimization algorithms. The obtained results demonstrate that DMOEOA is not only an algorithm with good performance for benchmark problems but is also expected to have a wide application in real-world engineering optimization problems.
中文翻译:
基于中断的多目标均衡优化算法
自诞生以来,自然启发式计算就引起了极大的关注,特别是在多目标优化领域。提出了一种基于干扰的多目标均衡优化算法(DMOEOA)。该算法融合了一种新颖的突变算子分层破坏法,旨在提高DMOEOA的挖掘和开发能力。为了证明所提出算法的优势,已使用五种不同的多目标优化算法选择了各种基准。测试结果表明,DMOEOA在这些问题上确实表现出更好的性能,并且在收敛和分布之间具有更好的平衡。此外,将该算法与其他五种现有的多目标优化算法一起应用于弹性桁架的结构优化。获得的结果表明,DMOEOA不仅是一种性能良好的基准测试算法,而且有望在实际工程优化问题中得到广泛应用。
更新日期:2020-12-01
中文翻译:
基于中断的多目标均衡优化算法
自诞生以来,自然启发式计算就引起了极大的关注,特别是在多目标优化领域。提出了一种基于干扰的多目标均衡优化算法(DMOEOA)。该算法融合了一种新颖的突变算子分层破坏法,旨在提高DMOEOA的挖掘和开发能力。为了证明所提出算法的优势,已使用五种不同的多目标优化算法选择了各种基准。测试结果表明,DMOEOA在这些问题上确实表现出更好的性能,并且在收敛和分布之间具有更好的平衡。此外,将该算法与其他五种现有的多目标优化算法一起应用于弹性桁架的结构优化。获得的结果表明,DMOEOA不仅是一种性能良好的基准测试算法,而且有望在实际工程优化问题中得到广泛应用。