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融合快速信息交流和局部搜索的粒子群算法

DOI: 10.3969/j.issn.1006-7043.201312024

Keywords: 粒子群优化, 自适应, 惯性权重, 快速信息交流, 局部搜索

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Abstract:

为优化传统的粒子群算法一直存在的收敛慢、易早熟的缺点, 提出了一种融合快速信息交流和局部搜索的粒子群算法。依据粒子群算法参数的特点, 设计了新的自适应惯性权重和加速因子, 使粒子可在算法的不同阶段根据种群的状态自适应地调整速度。借鉴基因交换的思想, 提出了粒子快速信息交流机制, 以避免“两步前进, 一步后退”效应;改进了传统的Hooke-Jeeves搜索方法, 并应用于粒子群算法中, 对最优粒子进行局部搜索, 提高了收敛精度。通过几个经典测试函数对新算法的测试表明, 可显著提高收敛的精度。

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