MOGAMOD: Multi-objective genetic algorithm for motif discovery, Expert Systems with Applications 36(2, Part 1): 1039-1047.Kaya, M. MOGAMOD: Multi-objective genetic algorithm for motif discovery. Expert Systems with Applications 36, 2 (2009), 1039-1047....
Vector Evaluated Genetic AlgorithmOne of the first treatments of multiobjective genetic algorithms was presented by Schaffer (1985), which has provided a foundation for later developments. The general idea behind the approach, called thevector evaluated genetic algorithm(VEGA), involves producing smaller ...
Neural network (NN) has been tentatively combined into multi-objective genetic algorithms (MOGAs) to solve the optimization problems in physics. However, the computationally complex physical evaluations and limited computing resources always cause the unsatisfied size of training set, which further results...
multi-objective genetic algorithmsWe propose an efficient method using multi-objective genetic algorithm (MOGAMOD) to discover optimal motifs in sequential data. The main advantage of our approach is that a large number of tradeoff (i.e., nondominated) motifs can be obtained by a single run ...
MOGA-Net: 多目标遗传算法求解复杂网络中的社区《A Multiobjective Genetic Algorithm to Find Communities in Complex Networks》(遗传算法、多目标优化算法、帕累托最优) 论文:A Multiobjective Genetic Algorithm to Find Communities in Complex Networks GitHub:...
MOGA-Net: 多目标遗传算法求解复杂网络中的社区《A Multiobjective Genetic Algorithm to Find Communities in Complex Networks》(遗传算法、多目标优化算法、帕累托最优) 论文:A Multiobjective Genetic Algorithm to Find Communities in Complex Networks GitHub:...
Genetic AlgorithmMulti-Objective Genetic AlgorithmNSGA-IISPEA2This paper proposes the multi-objective genetic algorithm (MOGA) for document clustering. The studied, hierarchical agglomerative algorithms, k -means algorithm and general genetic algorithm (GA) are more progressing in document clustering. ...
多目标遗传算法求解复杂网络中的社区《A Multiobjective Genetic Algorithm to Find Communities in Complex Networks》(遗传算法、多目标优化算法、帕累托最优), 首先是论文链接:https://ieeexplore.ieee.org/document/6045331中文翻译参考:https://wenku.baidu.com/vi
et al. DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinformatics 24, 13 (2023). https://doi.org/10.1186/s12859-023-05136-z Download citation Received23 April 2022 Accepted04 January 2023 Published09 January 2023 ...
Genetic AlgorithmsA Multiobjective Genetic Algorithm (MOGA) has been applied to optimize the three-dimensional target pressure distribution for the aerodynamic inverse design of transonic wing shape. The pressure distribution will be optimized to minimize the viscous drag and the induced drag under ...