改进的多策略非洲秃鹫优化算法

Dawei Ke, Cangsheng Yu
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引用次数: 0

摘要

针对非洲秃鹫优化算法在处理优化问题时收敛效率低、容易陷入局部极值的问题,提出了一种结合Tent混沌映射、时变机制和自适应混合策略的改进多策略非洲秃鹫算法(TSAVOA)。对典型单峰函数和多峰函数的测试结果表明,改进后的非洲秃鹫算法与其他算法相比,在各项指标上更加优秀,优化效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Strategy Improved African Vulture Optimization Algorithm
The problems of low convergence efficiency and easy to fall into local extremum in dealing with optimization problems of African vulture optimization algorithm, an improved multi-strategy African vulture algorithm (TSAVOA) combining Tent chaotic map, time-varying mechanism and adaptive hybrid strategy was proposed. The test results on typical unimodal and multimodal functions show that the improved African vulture algorithm compared with other algorithms, it is more excellent in various indicators and has better optimization effect.
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