具有角色轉(zhuǎn)換的自適應(yīng)人工蜂群算法
發(fā)布時(shí)間:2019-07-05 12:28
【摘要】:提出一種具有引領(lǐng)蜂與跟隨蜂動(dòng)態(tài)協(xié)調(diào)機(jī)制的改進(jìn)人工蜂群算法(DHABC)。根據(jù)優(yōu)化函數(shù)的尋優(yōu)狀態(tài),設(shè)計(jì)了引領(lǐng)蜂與跟隨蜂動(dòng)態(tài)角色轉(zhuǎn)換機(jī)制,以更好地適應(yīng)全局和局部搜索;為使算法能夠更好地進(jìn)行局部兼顧更大范圍搜索,設(shè)計(jì)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(shè)計(jì)了跟隨蜂進(jìn)化代數(shù)起始值的計(jì)算方法;通過仿真和比較實(shí)驗(yàn),改進(jìn)算法較其他ABC改進(jìn)算法及其他智能優(yōu)化算法既參數(shù)少,便于應(yīng)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(xué)經(jīng)濟(jì)管理學(xué)院;天津職業(yè)技術(shù)師范大學(xué)電子工程學(xué)院;
【基金】:河北省高等學(xué)校自然科學(xué)青年基金項(xiàng)目(No.2011125) 天津職業(yè)技術(shù)師范大學(xué)科研項(xiàng)目(No.KJ15-25)
【分類號(hào)】: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(xué)經(jīng)濟(jì)管理學(xué)院;天津職業(yè)技術(shù)師范大學(xué)電子工程學(xué)院;
【基金】:河北省高等學(xué)校自然科學(xué)青年基金項(xiàng)目(No.2011125) 天津職業(yè)技術(shù)師范大學(xué)科研項(xiàng)目(No.KJ15-25)
【分類號(hào)】:TP18
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