1) improved quantum evolutionary algorithm
改进量子进化算法
2) improved QEA
改进的量子进化算法
1.
Aiming at the difficulty faced by Quantum–inspired Evolutionary Algorithm(QEA) in solving actual problems,this paper presents an improved QEA,and applies it to the TSP.
针对量子进化算法(Quantum–inspired Evolutionary Algorithm,QEA),在解决实际问题中遇到的困难,提出一种改进的量子进化算法,应用于求解旅行商问题(Travelling Salesman Problem,TSP),并提出了TSP中的Hamilton圈的随机搜索编码技术。
3) quantum-inspired evolutionary algorithm
量子进化算法
1.
Optimization of SoC test architecture based on quantum-inspired evolutionary algorithm;
基于量子进化算法的SoC测试结构优化
2.
Application of quantum-inspired evolutionary algorithm in reactive power optimization;
量子进化算法在电力系统无功优化中的应用
3.
Quantum-inspired evolutionary algorithm is a kind of evolutionary computation algorithm in the form of quantum chromosome and is based on the concept of quantum computation.
量子进化算法是一种基于量子计算概念且具有量子染色体形式的进化算法,由于计算中融入了当前最优解的信息,同时采用全干扰交叉操作克服早熟现象,因此该算法具有更快的收敛速度和全局寻优能力。
4) quantum evolution algorithm
量子进化算法
1.
Cementing plan optimization design based on quantum evolution algorithm
基于量子进化算法的固井方案优化设计
2.
To raise global search capacity and convergent speed, a new evolution algorithm, based- descending search quantum evolution algorithm, was put forward on the basis of the quantum evolution algorithm (QEA) and the hybrid genetic algorithm.
为了提高全局寻优能力和收敛速度,基于量子进化算法和混合遗传算法,提出了一种新的进化算法。
3.
In this paper we proposed two methods to solve the multiple sequence alignment using Adaptive Genetic Algorithm and Quantum Evolution Algorithm separately after studying these existing methods.
本文在研读了现有比对方法之后,提出了用自适应遗传算法(Adaptive Genetic Algorithm-AGA)和量子进化算法(Quantum Evolution Algorithm -QEA)来求解MSA问题。
5) Quantum evolutionary algorithm
量子进化算法
1.
An improved quantum evolutionary algorithm and its application to a real distribution routing problem;
改进量子进化算法及其在物流配送路径优化问题中的应用
2.
Hybrid Quantum Evolutionary Algorithms and its Application;
混合量子进化算法及其应用
3.
Comparative study of quantum evolutionary algorithm and immune algorithm
量子进化算法和免疫算法的比较研究
6) Modified Quantum Genetic Algorithm(MQGA)
改进量子遗传算法
1.
In this paper,using a Modified Quantum Genetic Algorithm(MQGA) obtains the good solutions in some optimization of multi-peak functions.
运用一种改进量子遗传算法(MQGA),有效地解决了一些多峰值函数的优化问题。
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条