A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search for appropriate cluster centres in the feature space such that a similarity metric of the resulting clusters is optimized. ...
In this paper, a n-dimension convergence algorithm was employed to track the potential trend of evolution in traditional genetic algorithm (GA) by K-means clustering technique. And, chaotic algorithm was exploited to prevent the new approach from premature. By means of the proposed approach, not...
Genetic programming for evolving similarity functions for clustering: Representations and analysis[J]. Evolutionary Computation, 2020. 运筹优化 GP在运筹优化领域的研究主要集中于车间调度问题(Job-shop Scheduling)中的调度规则自动设计。 Multifidelity(多保真度):Zhang F, Mei Y, Nguyen S, et al. ...
A flexible parametric FEA library based on FreeCAD using Genetic Algorithm data-sciencecadfinite-element-analysisfinite-element-methodsgeneticalgorithm UpdatedDec 25, 2024 Python Francy93/AI-Projects Star4 Code Issues Pull requests Explore the world of Artificial Intelligence with these Java projects! Imp...
Fig. 9.A diagram of the general framework of genetic algorithm. View article Journal 2022,Environmental Modelling & Software Chapter Metaheuristics in classification, clustering, and frequent pattern mining 1.3.1Genetic algorithm Thegeneticalgorithm is an evolution-based algorithm inspired bynatural selectio...
Genetic algorithm 图像分割K均值聚类遗传算法Aiming at the characteristic of medical images, this paper integrates genetic algorithm with clustering analysis and applies in medical CT image segmentation. K-means clustering is introduced and remarked firstly. On the basis of systematic analysis of current ...
Genetic-algorithm-based artificial intelligence control of a turbulent boundary layerJianing Yu ¹, 范德威 Dewei Fan ¹, Bernd. R. Noack ¹ ², 周裕 Yu Zhou ¹ ¹ 哈尔滨工业大学(深圳)湍流控制研究…
this paper constructs a model based on projection tracing method, which can overcome the interference of subjective factors and improve the performance of computing more accurately and scientifically, and improve the algorithm as an accelerated genetic algorithm encoded with real numbers, so as to speed...
The use of Particle swarm optimization and adaptive block-matching algorithm has been demonstrated by Kader et al. [124] for efficient eye detection and tracking system. The researchers applied PSO-based deformable multiple template matching technique to compute best candidate for center of eyes within...
Coordinated design of a PSS and a SVC-based controller to enhance power system stability Int. J. Electr. Power Energy Syst. (2003) A. Varsek et al. Genetic algorithm in controller design and tuning IEEE Trans. Syst. Man Cybernet. (1993) J. Kennedy et al. Particle swarm optimization PSO...