搜索资源列表
mrf
- 马尔科夫随机场简介，适合初学者学习参考,非常有用的。-An introduction to Markov random fields,which is very useful
opt4j-2.0
- Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. The Opt4J framework currently includes a multi-obje
Test-on-benchmarks
- 基于智能算法的在几个测试函数上测试鲁棒性的M文件。可直接运行run_文件。-Some codes for the tests on benchmark functions on the basis of intelligence algorithms.
functions
- This paper provides the review of literature benchmarks (test functions) commonly used in order to test optimization procedures dedicated for mul- tidimensional, continuous optimization task. Special attention has been paid to multiple-extreme
IWO
- 野草算法程序，应用于常见的几个测试函数.-IWO for benchmarks
Bat-Algorithm
- 蝙蝠算法，并运用几个常见的测试函数验证了其收敛速度与精度。-Bat Algorithm for benchmarks.
Differential-Evolution-Algorithm
- 进化差分算法，并运用测试函数测试了其精度与收敛性。-DEA for benchmarks.
PSO
- 粒子群算法，并运用测试函数测试了其精度与收敛性。-PSO for benchmarks .
10dim
- sade算法的matlab程序，在13年发布的标准测试函数上进行实验，改进的差分进化算法。-the matlab code of SADE, an improved differential evolution algorithm, which are tested on the benchmarks in 2013.
CEC09_Dyn_Opt_MATLAB
- cec2009动态优化问题的函数测试集。(The benchmarks for CEC2009 Special Session / Competition on Dynamic Optimization)