具有角色轉(zhuǎn)換的自適應人工蜂群算法
發(fā)布時間:2019-07-05 12:28
【摘要】:提出一種具有引領(lǐng)蜂與跟隨蜂動態(tài)協(xié)調(diào)機制的改進人工蜂群算法(DHABC)。根據(jù)優(yōu)化函數(shù)的尋優(yōu)狀態(tài),設計了引領(lǐng)蜂與跟隨蜂動態(tài)角色轉(zhuǎn)換機制,以更好地適應全局和局部搜索;為使算法能夠更好地進行局部兼顧更大范圍搜索,設計了引領(lǐng)蜂與跟隨蜂間位置信息的共享方式;為提高算法的求解速度,設計了跟隨蜂進化代數(shù)起始值的計算方法;通過仿真和比較實驗,改進算法較其他ABC改進算法及其他智能優(yōu)化算法既參數(shù)少,便于應用,又求解精度較高。
[Abstract]:An improved artificial bee swarm algorithm (DHABC). With dynamic coordination mechanism between lead bee and follower bee is proposed. According to the optimization state of the optimization function, the dynamic role transformation mechanism between the lead bee and the follower bee is designed to better adapt to the global and local search, in order to make the algorithm better take into account the local search, the sharing method of the position information between the lead bee and the following bee is designed, in order to improve the solving speed of the algorithm, the calculation method of the starting value of the following bee evolution algebra is designed. Through simulation and comparison experiments, the improved algorithm not only has fewer parameters, is convenient to be applied, but also has higher accuracy than other improved ABC algorithms and other intelligent optimization algorithms.
【作者單位】: 河北工業(yè)大學經(jīng)濟管理學院;天津職業(yè)技術(shù)師范大學電子工程學院;
【基金】:河北省高等學校自然科學青年基金項目(No.2011125) 天津職業(yè)技術(shù)師范大學科研項目(No.KJ15-25)
【分類號】:TP18
[Abstract]:An improved artificial bee swarm algorithm (DHABC). With dynamic coordination mechanism between lead bee and follower bee is proposed. According to the optimization state of the optimization function, the dynamic role transformation mechanism between the lead bee and the follower bee is designed to better adapt to the global and local search, in order to make the algorithm better take into account the local search, the sharing method of the position information between the lead bee and the following bee is designed, in order to improve the solving speed of the algorithm, the calculation method of the starting value of the following bee evolution algebra is designed. Through simulation and comparison experiments, the improved algorithm not only has fewer parameters, is convenient to be applied, but also has higher accuracy than other improved ABC algorithms and other intelligent optimization algorithms.
【作者單位】: 河北工業(yè)大學經(jīng)濟管理學院;天津職業(yè)技術(shù)師范大學電子工程學院;
【基金】:河北省高等學校自然科學青年基金項目(No.2011125) 天津職業(yè)技術(shù)師范大學科研項目(No.KJ15-25)
【分類號】:TP18
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