| 基于改进种群多样度的差分进化算法 |
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| 引用本文： | 陈爱华,董新民,董志,刘棕成. 基于改进种群多样度的差分进化算法[J]. 电光与控制, 2012, 19(7): 80-84 |
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| 作者姓名： | 陈爱华 董新民 董志 刘棕成 |
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| 作者单位： | 1. 空军工程大学航空航天工程学院,西安,710038
2. 中国人民解放军驻沈阳飞机工业集团有限公司军事代表室,沈阳,110850 |
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| 摘 要： | 针对差分进化算法进化后期易出现早熟收敛而陷入局部最优的缺陷,提出了一种基于改进种群多样度的差分进化算法。对进化算法种群多样度进行了研究,经过数学推导,证明了种群多样度与算法全局寻优性能的关系,提出了一种随机变异策略,更好地保持了寻优过程中种群的多样性,增强算法的全局搜索能力。典型测试函数实验表明,改进后的差分进化算法相对于标准差分进化算法具有更好的种群多样性和抑制早熟收敛的能力。
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| 关 键 词： | 差分进化算法 种群多样度 早熟收敛 优化 |
| 收稿时间： | 2011-06-15 |
Differential Evolution Algorithms Based on Improved Population Diversity |
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| CHEN Aihua , DONG Xinmin , DONG Zhi , LIU Zongcheng. Differential Evolution Algorithms Based on Improved Population Diversity[J]. Electronics Optics & Control, 2012, 19(7): 80-84 |
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| Authors: | CHEN Aihua DONG Xinmin DONG Zhi LIU Zongcheng |
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| Affiliation: | 1(1.Engineering Institute,Air Force Engineering University,Xi’an 710038,China; 2.Military Deputy Office of PLA in Shenyang Airplane Industrial Group,Shenyang 110850,China) |
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| Abstract: | Aiming at the premature convergence problem at evolutionary anaphase of Differential Evolution (DE) algorithmsa modified DE algorithm (called DIDE) was proposedwhich used diversity theory approach to improve the population diversity.The relationship between changes of population diversity and performance of DE was proved mathematically.A random mutation method was proposed according to the relationshipwhich could make the algorithms keep the diversity much better and could enhance its global searching ability.The performance of DIDE was evaluated on a test bed of two functions.The numerical results were compared with that of the original differential evolution methodwhich indicated that this modification enables the algorithm to get a better transaction between the convergence rate and robustness. |
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| Keywords: | differential evolution algorithms population diversity premature convergence optimizatio |
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