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- Quantum Evolutionary Algorithm(QEA) is a distinctive type of algorithm for optimization currently,and the theoretical basis of QEA is quantum computation. 摘要 量子进化算法(QEA)是目前较为独特的优化算法,它的理论基础是量子计算。
- In order to optimize the complex functions, a real-coded quantum evolutionary algorithm is proposed based on the relational concepts and principles of quantum computing. 摘要为求解复杂函数优化问题,基于量子计算的相关概念和原理,提出一种实数编码量子进化算法。
- immune quantum evolutionary algorithm 免疫量子进化算法
- Quantum Evolutionary Algorithm (QEA) 量子进化算法
- Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid quantum evolutionary algorithms (QEA) based on combining QEA with particle swarm optimization (PSO). 摘要将量子进化算法(QEA)和粒子群算法(PSO)互相结合,提出了两种混合量子进化算法。
- Inspired by the idea of hybrid optimization algorithms,this paper proposes two hybrid Quantum Evolutionary Algorithms(QEA) based on combining QEA with Particle Swarm Optimization(PSO). 文章将量子进化算法(QEA)和粒子群算法(PSO)互相结合,提出了两种混合量子进化算法。
- Probability gate quantum evolution algorithm 概率门量子进化算法
- parallel quantum evolution algorithm 并行量子进化算法
- immune quantum evolution algorithm 免疫量子进化算法
- Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism and Its Convergence 基于学习的并行免疫量子进化算法及收敛性
- Quantum Evolution Algorithm Based on Descending Search 基于下降搜索的量子进化算法
- quantum evolutionary algorithm 量子进化算法
- Parallel Immune Quantum Evolution Algorithm Based on Learning Mechanism 基于学习的并行免疫量子进化算法
- Hybrid Quantum Evolutionary Algorithms and Its Application in Multiuser Detection 混合量子进化算法及其在多用户检测中的应用
- The idea of evolutionary algorithms is not new. 进化算法这个观点并不是新提出。
- ACOA is asimulated evolutionary algorithm of simulating to seek food of ants in nature. 蚁群优化算法就是对自然界中蚂蚁的寻食过程进行模拟而得出的一种模拟进化算法。
- Quantum evolution algorithm 量子进化算法
- This paper propose an entropy-based Pareto evolutionary algorithm (EPEA) for multi-objective optimization . 提出了一种求解多目标优化问题的基于相对熵的Pareto解演化算法 ,首先分析了多目标优化中各目标间的补偿模式和非补偿模式 ,以及它们对应的Pareto解演化算法和经典加权求和算法。
- Abstract: A novel and fast evolutionary algorithm (NFEA) for function optimization problems is proposed. 摘要: 提出一种新的求解函数优化的快速演化算法;
- Multi-objective evolutionary algorithm (MOEA) is especially suitable to solve multi-objective optimization problems. 摘要多目标进化算法在求解多目标优化问题方面具有独特的优势。