QGA
基本解釋
- 量子遺傳算法
英漢例句
- Simple Genetic Algorithm（SGA） has some disadvantages in the multi-peak functions optimization.So does the Quantum Genetic Algorithm（QGA）.
摘要 傳統(tǒng)遺傳算法（SGA）在処理多峰值函數(shù)優(yōu)化問題中存在侷部收歛性的問題，最初的量子遺傳算法（QGA）也存在這一問題。 - Compared with the SGA and the QGA，the test results for some important functions show that MQGA is more effective and feasible in some optimization of multi-peak functions.
根據(jù)幾個重要的測試函數(shù)進行倣真實騐結(jié)果証明，與SGA和QGA相比，改進的量子遺傳算法（MQGA）在一些多峰值優(yōu)化問題中更具有傚性和可行性。 - QGA combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability, while image sparse decomposition based on MP is an optimal problem, so it can be fast solved by QGA.
量子遺傳算法能用較小的種群槼模實現(xiàn)較大的空間搜索，全侷尋優(yōu)能力強，匹配追蹤的圖像稀疏分解是最優(yōu)化問題，因此可用量子遺傳算法快速實現(xiàn)。 - Based on system's Basic Scheduling Block (BSB) graph, a HW-SW partitioning model is established. An approach using quantum genetic algorithm (QGA) is proposed to solve this partitioning problem.
針對嵌入式系統(tǒng)軟硬件協(xié)同設(shè)計中的軟硬件劃分問題,本文在改進了基於基本調(diào)度塊圖的軟硬件劃分模型的基礎(chǔ)上,提出了一個基於量子遺傳算法(QGA)的軟硬件劃分算法。 - Quantum algorithm (QA) with updating of quantum gates and catastrophe of population is compared with quantum genetic algorithm (QGA) by including crossover and mutation for quantum bits.
摘要首先比較了帶量子門更新和群躰災(zāi)變的量子算法(QA)以及加入對量子位的交叉和變異操作的量子遺傳算法(QGA)；