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A New Parallel Quantum Genetic Algorithm with Probability-Gate and Its Probability Analysis

机译:一种新的概率门并行量子遗传算法及其概率分析

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In this paper, a novel Quantum Genetic Algorithm (QGA) called Parallel Probability-gate Quantum Genetic Algorithm (PPQGA) is proposed. The main points of PPQGA are that a new chromosome representation called qubit representation, a new updating gate called probability-gate and a novel evolutionary strategy being used in update procedure are introduced. Based on the concepts and principles of quantum computing introduced, PPQGA is characterized by rapid convergence, good global search capability and the ability of possessing exploitation simultaneously. The experimental results of several special functions show that PPQGA can speedup the migration of the top individuals of subpopulations and is superior to other several genetic algorithms greatly in quality and efficiency.
机译:本文提出了一种新的量子遗传算法(QGA),称为并行概率门量子遗传算法(PPQGA)。 PPQGA的要点是介绍了一种新的染色体表示形式称为qubit表示,一种新的更新门称为概率门以及一种在更新过程中使用的新颖进化策略。根据引入的量子计算的概念和原理,PPQGA具有快速收敛,良好的全局搜索能力和同时具有开发能力的特点。几种特殊功能的实验结果表明,PPQGA可以加速亚群中最高级个体的迁移,并且在质量和效率上均优于其他几种遗传算法。

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