本文選題：量子差分進(jìn)化 + 開發(fā)指標(biāo)預(yù)測(cè)�。� 參考：《浙江大學(xué)》2015年碩士論文

【摘要】：量子計(jì)算是量子力學(xué)和信息科學(xué)相結(jié)合的新興交叉學(xué)科,其中以量子算法為代表的量子計(jì)算因?yàn)槠渚哂懈叨鹊牟⑿行�、指�?shù)級(jí)存儲(chǔ)容量和對(duì)經(jīng)典啟發(fā)式算法的指數(shù)級(jí)加速作用,因此具有很大的優(yōu)越性并且蘊(yùn)涵著強(qiáng)大的生命力,目前已成為世界各國學(xué)者研究的前沿領(lǐng)域。本文將量子計(jì)算與差分進(jìn)化相融合,研究了量子差分進(jìn)化算法的設(shè)計(jì)問題,結(jié)合實(shí)際問題將算法推向了實(shí)用。為了提高差分進(jìn)化算法的優(yōu)化性能,從研究差分進(jìn)化算法的實(shí)現(xiàn)機(jī)制入手,實(shí)現(xiàn)了將差分策略與量子比特在Bloch球面的繞軸旋轉(zhuǎn)相融合的新思想。個(gè)體采用基于B1Och球面描述的量子比特編碼,采用差分策略計(jì)算當(dāng)前個(gè)體上量子比特的旋轉(zhuǎn)角度,采用向量積理論構(gòu)造旋轉(zhuǎn)軸,采用泡利矩陣構(gòu)造旋轉(zhuǎn)矩陣,以當(dāng)前最優(yōu)個(gè)體上相應(yīng)量子比特為目標(biāo),在Bloch球面上沿旋轉(zhuǎn)軸向目標(biāo)比特旋轉(zhuǎn)。采用Hadamard門實(shí)現(xiàn)個(gè)體變異。通過典型函數(shù)極值優(yōu)化的實(shí)驗(yàn),表明該方法在的搜索能力方面,明顯優(yōu)于傳統(tǒng)差分進(jìn)化算法。將所設(shè)計(jì)的算法應(yīng)用于油田開發(fā)指標(biāo)預(yù)測(cè)、水淹層識(shí)別、措施方案優(yōu)選等工程實(shí)際問題,均取得了滿意的結(jié)果。
[Abstract]:Quantum computing is a new interdisciplinary subject of quantum mechanics and information science. Quantum computation represented by quantum algorithm is characterized by its high parallelism, exponential storage capacity and exponential acceleration to classical heuristic algorithms.Therefore, it has great superiority and contains strong vitality, and has become the frontier field of scholars all over the world.In this paper, quantum computation and differential evolution are combined to study the design of quantum differential evolution algorithm.In order to improve the optimization performance of differential evolution algorithm, a new idea of combining differential strategy with quantum bit rotation around the axis of Bloch sphere is realized by studying the realization mechanism of differential evolution algorithm.The individual uses quantum bit coding based on B1Och sphere description, uses difference strategy to calculate the rotation angle of quantum bit on individual, constructs rotation axis by vector product theory, and constructs rotation matrix by Pauli matrix.Taking the corresponding quantum bits on the current optimal individual as the target, the target bits are rotated along the rotating axis on the Bloch sphere.Individual variation was realized by Hadamard gate.The experiments on the optimization of the typical function extremum show that this method is superior to the traditional differential evolution algorithm in searching ability.The proposed algorithm has been applied to practical problems such as prediction of oilfield development index, identification of water-flooded zone and optimal selection of measure scheme, and satisfactory results have been obtained.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TE319;TP18

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本文編號(hào)：1734799