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CEC13-icmaesils-sources.tar
- 在CEC2013上参加实数参数单目标优化竞赛的Stuetzle的代码，对CMA-ES算法进行了改进。-This software package is in connection with the paper: Tianjun Liao and Thomas Stuetzle, "Benchmark Results for a Simple Hybrid Algorithm on the CEC 2013 Benchmark Set for Real-parameter Optimizati
bbobexp13.09.tar
- CEC2013 Benchmark Functions-Benchmark Functions
cec13matlab
- cec2013基准测试函数 matlab源程序-cec2013benchmark functions matlab source code
cec13-c-code
- cec2013 benechmark函数，可测试群体智能算法的优越性-cec2013 benechmark
dynFWA2013
- 动态烟花算法代码。CEC2013测试函数。-Fireworks Algorithm
DE_b6e6rl
- 该文件是一种改进差分算法的研究，包括改进算法程序和CEC 2013测试函数程序，并且算法已经通过了CEC 2013标准测试函数测试。(This file is a kind of improved differential algorithm, including the improved algorithm program and CEC 2013 problems, and the algorithm has tested by CEC 2013 problems.)
SHADE
- 该文件是一种改进的自适应差分算法的研究，包括算法程序和参考文献，并用CEC2013 单目标真实参数优化问题测试了算法的性能。(This file is a kind of improved adaptive DE, including the algorithm program and references, and the performance of Success History based Adaptive DE (SHADE) is evaluated on the benchma
PVADE
- 该文件是一种改进的差分算法研究（PVADE）,包含一个算法程序和CEC2013 程序，并且算法通过CEC 2013 单目标真实参数优化问题的仿真测试。(This file is a kind of improved DE (Population's Variance-Based Adaptive Differential Evolution, PVADE), including the algorithm program and CEC 2013 programs, and the perfo
CEC 2013函数及相关测试算法
- 该文件包含了一个CEC 2013测试函数定义文件和相关测试算法文献。(This file contains a PDF about CEC 2013 test function and the literatures related testing algorithm.)
标准pso代码-鲁
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
PSO
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
求解大规模问题的协同进化动态粒子群优化算法
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
DMS_PSO
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
pso算法优化
- 一种多目标pso算法优化，针对cec2013 benchmark进行了测试