利用模拟退火算法对单目标测试集CEC2013进行测试，内涵CEC2013测试集，读者可以直接下载使用，还可以在此基础上进行改进。

cec2013 该包为 CEC-2013 实参单目标优化特别会议和竞赛定义的 28 个基准函数的 C 实现提供 R 包装器。 该软件包的重点是提供 CEC2013 基准函数的开源和多平台实现，以便研究人员更容易地以可重现的方式测试新优化算法的性能。 原始 C 代码（仅适用于 Windows）由 Jane Jing Liang 提供，而 GNU/Linux 注释由 Janez Brest 提供。 该软件包由 Ponnuthurai Nagaratnam Suganthan 轻轻授权在 CRAN 上发布。 官方文档可在。 非常欢迎错误报告/评论/问题（英语、西班牙语或意大利语）。

该资源是经过测试检验符合CEC2013的代码，内包含28个测试集！

单目标优化算法的研究是研究多目标优化算法、小生境算法、约束优化算法等更复杂优化算法的基础。所有新的进化算法和群体算法都在单一目标基准问题上进行了测试。此外，这些单一目标的基准问题可以转化为动态、利基组合、计算成本高和许多其他类别的问题。 近年来，各种新颖的优化算法被提出来解决实参数优化问题，包括 CEC'05 和 CEC'13 实参数优化特别会议。考虑到对 CEC'13 测试套件的评论，我们组织了一场关于实参数单目标优化的新竞赛。

Single objective optimization algorithms are the basis of the more complex optimization algorithms such as multi-objective optimizations algorithms, niching algorithms, constrained optimization algorithms and so on. Research on the single objective optimization algorithms influence the development of these optimization branches mentioned above. In the recent years various kinds of novel optimization algorithms have been proposed to solve real-parameter optimization problems. Eight years have passed since the CEC’05 Special Session on Real-Parameter Optimization[1]. Considering the comments on the CEC’05 test suite received by us, we propose to organize a new competition on real parameter single objective optimization. In the CEC’13 test suite, the previously proposed composition functions[2] are improved and additional test functions are included. This special session is devoted to the approaches, algorithms and techniques for solving real parameter single objective optimization without making use of the exact equations of the test functions. We encourage all researchers to test their algorithms on the CEC’13 test suite which includes 28 benchmark functions. The participants are required to send the final results in the format specified in the technical report to the organizers. The organizers will present an overall analysis and comparison based on these results. We will also use statistical tests on convergence performance to compare algorithms that eventually generate similar final solutions. Papers on novel concepts that help us in understanding problem characteristics are also welcome.

测试函数的官方详细介绍，因为自己找了很久才找到，所以放上来方便大家看

Congress on Evolutionary Computation （cec）2013年的资料，java版和matlab版还有c版的，matlab的需要C++编译器才行，是混合编程的，具体看readme.外加DRMA-LSCh-CMA的源码一份。觉得不错请回来评论一下，谢谢。

cec2013 28个函数详细说明 原始的发布文档。代码的实现可以参考http://download.csdn.net/download/qq_19296005/10235253