Kaya, M. (2009) MOGAMOD: Multi-objective genetic algorithm for motif discovery. Expert Systems with Applications: An International Journal 36: pp. 1039-1047Kaya, M. (2009) MOGAMOD: Multi-Objective Genetic Algorithm for Motif Discovery. Expert Systems with Applica- tions, 36, 1039-1047....
遗传算法(Genetic Algorithm, GA)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法。 其主要特点是直接对结构对象进行操作,不存在求导和函数连续性的限定;具有内在的隐并行性和更好的全局寻优能力;采用概率化的寻优方法,不需要确定的规则就能自动获取...
The multi-objective genetic algorithm (MOGA) is proposed to calibrate the non-linear camera model of a space manipulator to improve its locational accuracy. This algorithm can optimize the camera model by dynamic balancing its model weight and multi-parametric distributions to the required accuracy. ...
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 ...
As the algorithm goes, the penalty is stricter so that the individuals from NN performs worse in fitness values. As a result, less individuals from NN are picked up, and this is the reason why DNMOGA performs better than others when the accurate of NN is dissatisfied. The results of DN...
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 ...
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. ...
Multiobjective design optimization system of exhaust manifold shapes for a car engine has been developed using Divided Range Multiobjective Genetic Algorithm (DRMOGA) to obtain more engine power as well as to achieve less environmental impact. The three-dimensional manifold shapes are evaluated by the...
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...
I am trying to optimize two objectives functions (f1, f2) based on two decision variables (x1, x2) with none equality and inequality condition. Only lower and upper bounds limits are given. It seems the Multi-Objective Genetic Algorithm (MOGA) Matlab Apps...