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DE.python
- Python实现的差分进化算法源代码 使用Python实现的差分进化算法，引用到Numpy和Scipy，可以支持多核与集群并行计算。使用时只需继承DESolver并定义函数def error_func(self, indiv, *args)作为目标函数即可。-Python implementation of the differential evolution algorithm source code uses the Python implementation of the differ
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
dedemov
- 差分进化算法，比较好的算法啊。可用多目标优化-Differential evolution algorithm, a better algorithm ah. Available multi-objective optimization
devec3
- 差分进化算法，可以用于多目标优化，可以分享的啊。-Differential evolution algorithm, can be used for multi-objective optimization, can share the ah.
DEMO_v1_3_source
- multi objective Differential evolution algorithm. it can be used for various studies
CMODE
- 一种改进的微分进化算法用于多目标优化，解决约束优化问题。-An improved differential evolution algorithm for multi-objective optimization to solve constrained optimization problems.
MODE
- multi objective differential evolution algorithm
MGDE
- 基于差分演化算法的电力系统经济负荷分配，处理多目标优化问题-Based on Differential Evolution Algorithm and economic load distribution, handling multi-objective optimization problem
MODE-Multi-Objective-Optimization-Differential-Ev
- Multi-Objective Optimization Differential Evolution Algorithm
chafen
- 基于差分演化算法的电力系统经济负荷分配，处理多目标优化问题-Based on Differential Evolution Algorithm and economic load distribution, handling multi-objective optimization problem
MODE
- 一种多目标差分演化算法的例程，可以自己添加目标函数-A multi-objective differential evolution algorithm routines, you can add your own objective function
35738646DE
- 多目标DE算法，子程序有拥挤距离计算，非支配解排序，模型等，多学习多目标算法很有帮助-multi-objective DE algorithm差分进化算法(Multi objective DE algorithm, subroutines have crowding distance calculation, non dominated sorting, model, etc., multi learning multi-objective algorithm is very helpful,
华侨大学XFX函数优化平台2017版
- 该2017版软件集成了竞赛争冠系列算法（含单目标寻优、多峰函数寻优、参数估计（拟合）等）和多种差分向量型式的差分进化算法。可对数学函数进行有或无约束优化、多峰函数优化等工作。其中改进竞赛争冠算法是近期本人的研究佳作。与现行优良的进化算法相比，颇具竞争力。(The 2017 version of the software integrates the series of race champion algorithm (including single objective optimization
tesis-master
- Multi objective Differential evolution algorithm