| 在多约束非线性优化问题上蚂蚁与遗传算法融合方法的研究 |
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| 引用本文： | 王剑雄,王玉兰,张志宏,王海东,闫常丽. 在多约束非线性优化问题上蚂蚁与遗传算法融合方法的研究[J]. 河北建筑工程学院学报, 2009, 27(3): 105-107 |
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| 作者姓名： | 王剑雄 王玉兰 张志宏 王海东 闫常丽 |
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| 作者单位： | 河北建筑工程学院;张家口教育学院宣化分校 |
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| 摘 要： | 蚂蚁算法是通过信息素的累积和更新收敛于最优解上．针对初期信息素匮乏、求解速度慢的问题,将蚂蚁算法与遗传算法融合,采用遗传算法生成初始信息素分布,利用蚂蚁算法求精确解．该方法能有效地求得全局极小点或近似全局极小点．
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| 关 键 词： | 蚂蚁算法 遗传算法 优化 |
The Combination of Ant Algorithm and Genetic Algorithm Based on the Multicontroled Nonlinear Optimization |
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| Wang Jianxiong,Wang Yulan,Zhang Zhihong,Wang Haidong,Yan Changli. The Combination of Ant Algorithm and Genetic Algorithm Based on the Multicontroled Nonlinear Optimization[J]. Journal of Hebei Institute of Architectural Engineering, 2009, 27(3): 105-107 |
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| Authors: | Wang Jianxiong Wang Yulan Zhang Zhihong Wang Haidong Yan Changli |
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| Affiliation: | 1. Hebei Institute of Architecture and Civil Engineering;2. Xuanhua Branch of Zhangjiakou Educational Institute) |
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| Abstract: | Ant algorithm converges on the optimization path through information pheromone accumulation and renewal. It has the ability of parallel processing and global searching. The speed at which the ant algorithm gives the solution is slow, because there is little information pheromone on the early path. The algorithm in this paper is based on the combination of genetic algorithm and ant algorithm. First, it adopts genetic algorithm to give information pheromone to distribute. Second, it makes use of the ant algorithm to give the precision of the solution. Finally, it develops enough advantage of the two algorithms. The simulation results show that very nice effects are obtained. |
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| Keywords: | ant algorithm genetic algorithm optimization |
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