Cautious particle swarm

Cautious particle swarm
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DOI:
10.1109/sis.2008.4668292
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发表时间:
2008-11
期刊:
2008 IEEE Swarm Intelligence Symposium
影响因子:
--
通讯作者:
Hiroshi Someya
Hiroshi Someya
中科院分区:
其他
文献类型:
--
作者:
Hiroshi Someya

文献摘要

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行为和搜索性能的建议谨慎的粒子群,其中的粒子是谨慎的模仿最好的成功之一,研究了一个问题:ldquoIs它真的是最好的策略,一个组,其中的每一个人都乖乖地模仿最好的?rdquo他们对全局最优的中立或不服从的态度是通过用滑动均匀分布和非对称正态分布这两种概率分布中的任何一种来代替传统的随机数均匀分布来表达的。对这种单个粒子在一维搜索空间中行为的实证分析已经引起了人们的期望,即适当的谨慎性平衡可以实现避免局部极小值的探索导向搜索和在全局最优值附近找到全局最优值的开发导向搜索。为了探讨谨慎粒子群算法的优化性能,对典型测试函数进行了实验。实验结果提出了一个可接受的参数范围内的服从适当的谨慎。
Behavior and search performance of the proposed cautious particle swarm, in which the particles are cautious about imitating the best successful one, are investigated with a question: ldquoIs it really the best strategy for a group that every individual in which obediently imitates the top one?rdquo Their neutral or disobedient attitudes to the global best are expressed by replacing the conventional uniform distribution for random numbers with either of the two probability distributions: slided uniform distribution and asymmetrical normal distribution. Empirical analyses on the behavior of such a single particle in one-dimensional search space have aroused an expectation that appropriate cautiousness balance may accomplish both exploration-oriented search for avoiding local minima and exploitation-oriented search for finding the global optimum near the global best. For discussion on the optimization performance of the cautious particle swarm, experiments in typical test functions were performed. The experimental results have presented an acceptable parameter range of obedience for appropriate cautiousness.