文件名称:123
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- 人工智能/神经网络/遗传算法
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- [PDF]
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- 2013-01-15
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提出了一种双域模型人工鱼群算法。算法采用前驱节点指向的编码方法形成多播树表示人工鱼，将搜索
空间分为可行域和非可行域。分别赋予可行域和非可行域的人工鱼不同的游动目标，设计行为算子自适应地执行
4 种人工鱼行为。数值实验结果表明，提出的算法可以有效利用非可行个体，具有较好的求解时延约束最小代价
多播树的性能。-An artificial fish swarm algorithm with two regions model was proposed. The algor ithm used a multicast tree
formed by the predecessor orientation method to represent an ar tificial fish, and divided the search space into feasible re-gion and infeasible region. The artificial fishes in the feasible region and the infeasible region were given different mov-ing objectives, respectively. The behavior operator was designed to adaptively implement four behaviors of artificial fish.
Experimental results show that the proposed algorithm can ef fectively make use of the in feasible individuals and per-forms better in searching least-cost multicast tree with delay constraint.
空间分为可行域和非可行域。分别赋予可行域和非可行域的人工鱼不同的游动目标，设计行为算子自适应地执行
4 种人工鱼行为。数值实验结果表明，提出的算法可以有效利用非可行个体，具有较好的求解时延约束最小代价
多播树的性能。-An artificial fish swarm algorithm with two regions model was proposed. The algor ithm used a multicast tree
formed by the predecessor orientation method to represent an ar tificial fish, and divided the search space into feasible re-gion and infeasible region. The artificial fishes in the feasible region and the infeasible region were given different mov-ing objectives, respectively. The behavior operator was designed to adaptively implement four behaviors of artificial fish.
Experimental results show that the proposed algorithm can ef fectively make use of the in feasible individuals and per-forms better in searching least-cost multicast tree with delay constraint.
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123\基于人工鱼群算法的多播树演化寻优.pdf
123