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Multi-criterion Decision Making in Distrbiuted Systems by Quantum Evolutionary Algorithms

机译:基于量子进化算法的分散系统多准则决策

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Decision making by the AQMEA (Adaptive Quantum-based Multi-criterion Evolutionary Algorithm) has been considered for distributed computer systems. AQMEA has been extended by a chromosome representation with the registry of the smallest units of quantum information. Evolutionary computing with Q-bit chromosomes has been proofed to characterize by the enhanced population diversity than other representations, since individuals represent a linear superposition of states probabilistically. Moreover, the benchmark multi-criterion problem has been considered due to the distributed system area.
机译:对于分布式计算机系统,已经考虑了AQMEA(基于自适应量子的多准则进化算法)的决策。 AQMEA已通过具有最小量子信息单位的染色体表示法得以扩展。事实证明,与其他表示相比,具有Q位染色体的进化计算具有增强的种群多样性的特征,因为个体可以概率表示状态的线性叠加。此外,由于分布系统区域,已经考虑了基准多准则问题。

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