M. Kaya, "MOGAMOD: Multi-objective genetic algorithm for motif discovery," Expert Systems with Applications, vol. 36, no. 2, pp. 1039- 1047, 2009.MOGAMOD:Multi-objective genetic algorithm for motif discovery. Kaya M. Expert Systems With Applications . 2009...
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 ...
the dynamically used NN-based MOGA (DNMOGA) is proposed for the first time, which includes dynamically redistributing the number of evaluated individuals to different operators and some other improvements. Radio frequency cavity is designed by this algorithm as an example, in which four objectives ...
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 ...
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. ...
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:...
In this work, we have setup a simple framework for the evaluation of hardness of multi-objective genetic algorithms (MOGA). The algorithm is designed for a pray-predator game where a player is to improve its lifespan, challenging level and usability of the game arena through number of ...
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 ...
The model proposed in this study uses a three-step architecture, consisting of a convolutional autoencoder based unsupervised feature extractor, a multi-objective genetic algorithm (MOGA) based feature selector, and a Bagging Ensemble of su...
The Multiobjective Genetic Algorithm (MOGA) was used to optimize missile geometry. The front part of the body, the main body, and tailfins were improved for each selected Mach number. The results of the optimization solution problem showed that the lift-to-drag ratio increases by 17.17%, ...