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基于改進(jìn)型果蠅算法的無性系種子園設(shè)計(jì)
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國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFC0504660,、2017YFD0600500)


Design of Seed Orchard Based on Improved Fruit Fly Optimization Algorithm
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    摘要:

    種子園的規(guī)劃設(shè)計(jì)是林木育種的基礎(chǔ)工作,在親本數(shù)量不確定的前提下,最大限度避免種子園內(nèi)無性系之間近交繁殖,保證種子園具有較高的遺傳效益,是種子園設(shè)計(jì)的目標(biāo),。以內(nèi)蒙古紅花爾基樟子松(Pinussylvestris var. mongolica)國家良種基地的1、1.5、2代種子園樟子松無性系通過SSR等技術(shù)分析得到的不同親本之間的遺傳距離為數(shù)據(jù)支撐,,考慮復(fù)雜的親本關(guān)系,通過改進(jìn)的智能優(yōu)化算法進(jìn)行種子園設(shè)計(jì),,并將最終結(jié)果與其他智能優(yōu)化算法和傳統(tǒng)算法的結(jié)果進(jìn)行對比分析,。結(jié)果表明:改進(jìn)型果蠅算法的收斂速度和效果優(yōu)于其他算法,由所有算法分別執(zhí)行200次之后的對比結(jié)果中可見,,其最大值低于其他算法的最小值,。在完全隨機(jī)算法設(shè)計(jì)方案中存在多處同一無性系分株相鄰出現(xiàn),遺傳算法和改進(jìn)型果蠅算法設(shè)計(jì)方案并無同一無性系分株作為近鄰出現(xiàn)且改進(jìn)型果蠅算法設(shè)計(jì)方案的優(yōu)先交配優(yōu)于遺傳算法設(shè)計(jì)方案,。結(jié)果表明,,基于遺傳距離處理親本復(fù)雜的親緣關(guān)系,采用智能優(yōu)化算法進(jìn)行方案配置,,可以為高世代種子園設(shè)計(jì)提供參考,。

    Abstract:

    The seed orchards design is the basic work for forest tree breeding. The goal of seed orchards design is to minimize the inbreeding between clones and guarantee the high genetic effects in seed orchards. The data source was genetic distance between the 1st, 1.5th and 2nd seed orchards of Pinussylvestris var. mongolica in Inner Mongolia Honghuaerji Sylvestris National Seed Areas by using SSR molecular marker technique. Considering the complex relationships between parents, the scheme of seed orchards was achieved by improved fruit fly optimization algorithm. The result was compared with other intelligent optimization algorithms and traditional algorithms, and it was showed that the speed and effectiveness of the improved fruit fly optimization were significantly better than those of other algorithms. After executing 200 times respectively, its maximum value was significantly lower than the minimum value of other algorithms. Finally, the improved fruit fly optimization design scheme was compared with the completely random design scheme and the genetic algorithm design scheme. Multiple same clones existed adjacent to each other in the completely random algorithm design, but the genetic algorithm and the improved fruit fly optimization design program did not appear as close neighbors of the same clonal ramets. However, the preferred mating of the improved fruit fly optimization design scheme was superior to the genetic algorithm design scheme. Based on the genetic distance to deal with the complex relationships of the parents, using the intelligent optimization algorithms to design seed orchard can provide reference for the design of highgeneration seed orchards.

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齊建東,劉春霞,崔曉暉,李 偉.基于改進(jìn)型果蠅算法的無性系種子園設(shè)計(jì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2018,49(11):195-200. QI Jiandong, LIU Chunxia, CUI Xiaohui, LI Wei. Design of Seed Orchard Based on Improved Fruit Fly Optimization Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(11):195-200.

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  • 收稿日期:2018-06-25
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  • 在線發(fā)布日期: 2018-11-10
  • 出版日期: 2018-11-10
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