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A new adaptive mutative scale chaos optimization algorithm and its application 被引量:22
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作者 Jiaqiang E Chunhua WANG +1 位作者 Yaonan WANG Jinke GONG 《控制理论与应用(英文版)》 EI 2008年第2期141-145,共5页
Based on results of chaos characteristics comparing one-dimensional iterative chaotic self-map x = sin(2/x) with infinite collapses within the finite region[-1, 1] to some representative iterative chaotic maps with ... Based on results of chaos characteristics comparing one-dimensional iterative chaotic self-map x = sin(2/x) with infinite collapses within the finite region[-1, 1] to some representative iterative chaotic maps with finite collapses (e.g., Logistic map, Tent map, and Chebyshev map), a new adaptive mutative scale chaos optimization algorithm (AMSCOA) is proposed by using the chaos model x = sin(2/x). In the optimization algorithm, in order to ensure its advantage of speed convergence and high precision in the seeking optimization process, some measures are taken: 1) the searching space of optimized variables is reduced continuously due to adaptive mutative scale method and the searching precision is enhanced accordingly; 2) the most circle time is regarded as its control guideline. The calculation examples about three testing functions reveal that the adaptive mutative scale chaos optimization algorithm has both high searching speed and precision. 展开更多
关键词 adaptive mutative scale Chaos optimization algorithm One-dimensional iterative chaotic self-map
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Multidisciplinary design optimization on production scale of underground metal mine 被引量:4
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作者 左红艳 罗周全 +1 位作者 管佳林 王益伟 《Journal of Central South University》 SCIE EI CAS 2013年第5期1332-1340,共9页
In order to ensure overall optimization of the underground metal mine production scale, multidisciplinary design optimization model of production scale which covers the subsystem objective function of income of produc... In order to ensure overall optimization of the underground metal mine production scale, multidisciplinary design optimization model of production scale which covers the subsystem objective function of income of production, safety and environmental impact in the underground metal mine was established by using multidisciplinary design optimization method. The coupling effects from various disciplines were fully considered, and adaptive mutative scale chaos immunization optimization algorithm was adopted to solve multidisciplinary design optimization model of underground metal mine production scale. Practical results show that multidisciplinary design optimization on production scale of an underground lead and zinc mine reflect the actual operating conditions more realistically, the production scale is about 1.25 Mt/a (Lead and zinc metal content of 160 000 t/a), the economic life is approximately 14 a, corresponding coefficient of production profits can be increased to 15.13%, safety factor can be increased to 5.4% and environmental impact coefficient can be reduced by 9.52%. 展开更多
关键词 多学科设计优化 地下金属矿山 生产规模 免疫优化算法 优化模型 环境影响 安全系数 铅锌矿
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基于改进Tent映射的自适应变尺度混沌粒子群算法 被引量:5
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作者 李国晓 韦世丹 《水力发电》 北大核心 2017年第2期89-93,共5页
为改善标准粒子群优化算法本身存在的缺陷,引入种群混沌初始化方法、参数自适应调整策略、早熟判断机制以及基于改进Tent映射的变尺度混沌局部搜索方法对原有算法进行改进,提出一种基于改进Tent映射的自适应变尺度混沌粒子群算法(Improv... 为改善标准粒子群优化算法本身存在的缺陷,引入种群混沌初始化方法、参数自适应调整策略、早熟判断机制以及基于改进Tent映射的变尺度混沌局部搜索方法对原有算法进行改进,提出一种基于改进Tent映射的自适应变尺度混沌粒子群算法(Improved Adaptive Chaos PSO,IACPSO)。多种高维Benchmark函数的计算结果表明,IACPSO算法在计算精度、优化稳定性及收敛速度方面均明显优于其他改进粒子群优化算法。 展开更多
关键词 粒子群优化算法 TENT映射 变尺度 混沌 自适应
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求解舰艇抗损性优化的改进变尺度混沌遗传算法 被引量:1
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作者 侯岳 浦金云 《武汉理工大学学报》 CAS CSCD 北大核心 2013年第5期66-72,共7页
为满足舰艇抗损性优化的需要,构建了优化的数学模型;针对以往该类问题求解算法时间长、易早熟的不足,对传统的遗传算法进行了改进。首先通过适应度函数的标定,自适应的调节了个体选择的概率;然后对交叉概率和变异概率进行了动态修正;不... 为满足舰艇抗损性优化的需要,构建了优化的数学模型;针对以往该类问题求解算法时间长、易早熟的不足,对传统的遗传算法进行了改进。首先通过适应度函数的标定,自适应的调节了个体选择的概率;然后对交叉概率和变异概率进行了动态修正;不仅如此,利用变尺度混沌优化算法对种群中的较优个体进行了混沌搜索,避免了陷入局部最优解。案例优化结果的对比表明,改进的遗传算法能够快速地搜索到全局最优解,特别是避免了不成熟的收敛,较好地指导了抗损性的优化设计。 展开更多
关键词 变尺度混沌优化 遗传算法 自适应选择 抗损性 优化
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