In this work, we illustrate with a Quantum Genetic Algorithm (QGA) the advantages of using the software platform of Compute Unified Device Architecture (CUDA) from NVIDIA, in special, the Matlab Graphic Processing Unit (GPU) library was used. The original software for Matlab named Quack!, ...
A mutualism quantum genetic algorithm (MQGA) is proposed for an integrated supply chain scheduling with the materials pickup, flow shop scheduling, and the finished products delivery. The objective i...
Algorithm 1 Construction of qscGRN model Require: Number of qubits n, Parameter \({\mathbf{\theta}}\) 1: Create n-qubit quantum circuit qscGRN 2: for \(k=0,\,1,\,\cdots ,{n}-1\) do 3: Create and append \({R}_{{\rm{y}}}\left({\theta }_{k,k}\right)\) ...
planning;quantumgeneticalgorithm;chaos 摘要:针对配电网加入分布式电源的经济技术优化目标,给 出了分布式电源多目标规划的数学模型;结合实数编码量子 遗传算法和非支配排序、精英保留、分层聚类等多目标优化 策略,提出了多目标混沌量子遗传算法,并对分布式电源的 安装位置和容量进行了综合规划研究。算例分析表明,所提 算法...
Advanced applications of genetic algorithms have improved breast cancer prediction. These include a genetic algorithm based on tribal competition and an online gradient-boosting strategy for feature selection. These methods have achieved accuracies of 98.32, 94.28, and 95.75% respectively36,37,38. In ...
genetic algorithm with ELM, enabling us to outperform the baseline methods on multi-cancer instead of standard ML approaches where we consider single cancer types. Our model also differs from AI-based methods, showing its adaptability to breast, brain, skin, and lung cancers by maximizing feature...
genetic algorithm with ELM, enabling us to outperform the baseline methods on multi-cancer instead of standard ML approaches where we consider single cancer types. Our model also differs from AI-based methods, showing its adaptability to breast, brain, skin, and lung cancers by maximizing feature...
根据算法的实现过程用Matlab编写计算程序,优化区域水资源可持续利用评价模型中 的参数。计算中取种群规模为N=20,目标函数期望值为Q一-'O.005,最大遗传代数zT_2000。 五l训练数据集的选取 将如表1所示的区域水资源可持续利用系统评价等级标准”1作为指标数据集,1级表明 水资源可持续利用性晟佳,2级、3级、4级...
Matlab - Yet to come soon Python - Yet to come soon Quantum Genetic Algorithm info : One of the best algorithm suited for Quantum Field ,Here the chromosomes act as qubit vectors ,the crossover part carrying by an evaluation and the mutation part carrying by the rotation of gates PDF1 -...
Research focuses on algorithm efficiency, verification over validation, and resource optimization, but lacks standardized evaluation methods. Key limitations include hardware constraints, noise, and scalability, while challenges involve integration, error correction, and problem formulation. Quantum computing ...