搜索资源列表
PSOGSA
- particle swarm optimization method
PSOGSA_v3
- This a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation
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
PSOGSA
- 引力搜索算法与粒子群算法结合的混合算法，多大量的标准测试函数进行测试-Hybrid algorithm gravitational search algorithm and particle swarm algorithm combining multiple large number of standard test functions for testing
SVC_PSOGSA
- Optimal SVC by PSOGSA
A-New-Hybrid-PSOGSA-Algorithm-for-Function-Optimi
- A New Hybrid PSOGSA Algorithm for Function Optimization
PSOGSApersonal
- PSOGSA代码,相比较于简单的PSOGSA代码，次代码将函数分解开，-the code of PSOGSA
PSOGSA_OPF
- psogsa algorithm for solving Optimum power flow
PSOGSA
- 粒子群与重力搜索算法的结合，，效果非常好-Particle group and gravity search algorithm combination, the effect is very good
PSOGSA
- APSO for PHEV-1 in order to do optimization
benchmark_functions
- benchmark for PSOGSA-1 in order to do optimization
PSOGSA
- this is a psogsa code
PSOGSA_v3
- This code explains PSOGSA MATLAB code
PSOGSA
- hybrid optimization algorithm for the various optimization algorithm