搜索资源列表
PSOGSA
- 程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力-Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization
2016.10.04GSA_SVM
- 以优化SVM算法的参数c和g为例，对GSA（引力搜索算法）MATLAB源码进行了详细中文注解。是很好的学习材料。- In order to optimize SVM algorithm parameters c and g as an example, the GSA (Gravitational Search Algorithm) MATLAB source code for a detailed Chinese annotation. Is a good learning materia
GSA
- 引力搜索算法的的matlab原始代码，一种新型的优化算法(GSA algorithm.A new optimization algorithm)
PSO和GSA
- 基于群里智能的粒子群优化算法和引力搜索算法有效结合，性能优于原始算法
2016.10.04GSA_SVM
- 通过引力搜索算法，进行支持向量机参数优化。实现模式识别和趋势预测。(The parameters of support vector machine are optimized by gravitational search algorithm. Realize pattern recognition and trend prediction.)