Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/136483
DC FieldValueLanguage
dc.contributor.advisor曾正男zh_TW
dc.contributor.advisorTzeng, Jeng-Nanen_US
dc.contributor.author羅令宇zh_TW
dc.contributor.authorLo, Ling-Yuen_US
dc.creator羅令宇zh_TW
dc.creatorLo, Ling-Yuen_US
dc.date2021en_US
dc.date.accessioned2021-08-04T07:39:47Z-
dc.date.available2021-08-04T07:39:47Z-
dc.date.issued2021-08-04T07:39:47Z-
dc.identifierG0107751008en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/136483-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description應用數學系zh_TW
dc.description107751008zh_TW
dc.description.abstract研究生物運動的各種行為,一直都是許多學者們熱愛研究的主題之一。許多學者想運用數學的方法去解釋與描述生物的運動特徵,而果蠅因為繁衍數度快且適應力好,即便他在生活中很煩人,但也成為了許多學者喜愛的研究對象。\n\n從過去的文獻中發現,果蠅的運動模式主要可分為「萊維飛行」與「布朗運動」,由於此兩種模式有著很明顯的差異,因此本研究想藉由此兩種運動模式的特性,去分析兩者差異對總體存活率的影響,了解在一個群體之中怎樣的比例分配下,會帶給整體果蠅群體最大的效益。\n\n本研究使用Python進行果蠅運動行為的模擬,模擬十隻果蠅一起合作覓食,在這過程中也包含死亡與繁殖。我們模擬會分成十一種不同運動模式的比例分配,統計他們找尋到食物的次數、時間還有不同運動模式的死亡個數與死亡的原因。我們從數據中發現,若十隻果蠅都做相同的運動模式時,整體的死亡率是相當高的,相對地找尋食物的效率也是差的,而存活率較高的比例落在 2:8 與 3:7 (萊維飛行:布朗運動),但隨著萊維飛行的比例變高時,存活率則是持續下降。zh_TW
dc.description.abstractThe study of various behaviors of biological movement has always been one of the topics that many scholars love to study. Many scholars want to use mathematical methods to explain and describe the movement characteristics of organisms. Drosophila reproduces several times quickly and has good adaptability. Even though it is annoying in life, it has become a favorite research object of many scholars.\n\nIt has been found from the past literature that the movement patterns of fruit flies can be mainly divided into 「Lévy flight」 and 「Brownian motion」. Since these two patterns have obvious differences, this study intends to use these two movement patterns characteristics, to analyze the impact of the difference between the two on the overall survival rate, and understand what proportion of a group will bring the greatest benefit to the overall fruit fly population.\n\nThis study uses Python to simulate the movement behavior of fruit flies, simulating ten fruit flies cooperating for food, and this process also includes death and reproduction. Our simulation will be divided into the proportional distribution of six different movement patterns, and count the number of times and time they find food, as well as the number of deaths and the cause of death in different movement patterns. We found from the data that if ten fruit flies all do the same movement patterns, the overall mortality rate is quite high, and the relative efficiency of finding food is also poor, and the higher survival rate falls at 2:8 and 3:7.(Lévy flight:Brownian motion), but as the proportion of Lévy flight becomes higher, the survival rate continues to decline.en_US
dc.description.tableofcontents致謝 ii\n中文摘要 iv\nAbstract v\n目錄 vii\n表目錄 ix\n圖目錄 x\n第一章緒論 1\n第一節研究背景 1\n第二節研究動機與目的 2\n第三節文章架構 2\n第二章文獻探討 3\n第一節果蠅最佳化演算法 3\n第二節布朗運動 6\n第三節萊維飛行 7\n第三章研究方法 8\n第一節兩種運動模式的果蠅飛行模擬 9\n第二節增加食物氣味與障礙物模擬 11\n第三節果蠅群體飛行模擬 14\n第四節包含繁衍與死亡綜合模擬 16\n第四章研究結果 17\n第一節參數設置 17\n第二節氣味分布圖 19\n第三節實際模擬結果 23\n第五章結論 69\n附錄A python code 70\n參考文獻 86zh_TW
dc.format.extent3373149 bytes-
dc.format.mimetypeapplication/pdf-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0107751008en_US
dc.subject萊維飛行zh_TW
dc.subject布朗運動zh_TW
dc.subject果蠅優化演算法zh_TW
dc.subjectLévy flighten_US
dc.subjectBrownian motionen_US
dc.subjectFruit Fly Optimization Algorithmen_US
dc.title果蠅在不同運動模式下的存活率分析zh_TW
dc.titleAnalysis of the Survival Rate of Drosophila in Different Movement Patternsen_US
dc.typethesisen_US
dc.relation.reference王庆喜,郭晓波.基于莱维飞行的粒子群优化算法[J],计算机应用研究,2016,33(9:):2588-2591\n\n朱晓恩等,基于Levy flight 的特征选择算法[J],浙江大学学报(工学版),2013,47(4):638-643\n\n郭德龙,杨楠,周永权. 一种基于lévy飞行轨迹的果蝇优化算法[J]. 计算机与数字工程, 2017, 45(2): 304-310.\n\n黃文璋 (民國81年), 布朗運動簡介, 數學傳播, 第十六卷第四期。\n\n潘文超,果蠅最佳化演算法.台北:滄海書局,2011.\n\nAbe MS, Shimada M. 2015 Lévy walks suboptimal under predation risk. PLoS Comput Biol 11, e1004601. (doi:10.1371/journal.pcbi.1004601)\n\nHumphries NE, Queiroz N, Dyer JRM, Pade NG, Musyl MK, Schaefer KM, Fuller DW,Brunnschweiler JM, Doyle TK, Houghton JDR. Environmental context explains Lévy and Brownian movement patterns of marine predators[J]. Nature, 2010,465(7301): 1066-1069\n\nReynolds AM, Frye MA (2007) Free-flight odor tracking in Drosophila is consistent with an optimal intermittent scale-free search. Plos ONE 2: e354.\n\nShlesinger MF, Klafter J. Lévy walks versus Lévy flights. In: Stanley HE, Ostrowski N, editors. Growth and Form. Amsterdam: Martinus Nijhof Publishers; 1986. pp. 279–283.\n\nSims DW, Humphries NE, Bradford RW, Bruce BD (2012) Lévy flight and Brownian search patterns of a free-ranging predator reflect different prey field characteristics. J Anim Ecol 81: 432–442. 10.1111/j.1365-2656.2011.01914.x\n\nViswanathan GM, Buldyrev SV, Havlin S, da Luz MGE, Raposo EP, et al. (1999) Optimizing the success of random searches. Nature 401: 911–914.zh_TW
dc.identifier.doi10.6814/NCCU202100715en_US
item.grantfulltextembargo_20260704-
item.openairetypethesis-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.cerifentitytypePublications-
Appears in Collections:學位論文
Files in This Item:
File Description SizeFormat
100801.pdf3.29 MBAdobe PDF2View/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.