Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization
Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization
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发表时间：
2013
影响因子：
4.6
通讯作者：
Jing Liang;Boyang Qu;P. Suganthan;A. G. Hernández-Díaz
中科院分区：
文献类型：
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作者：
Jing Liang;Boyang Qu;P. Suganthan;A. G. Hernández-Díaz
单个目标优化算法是更复杂的优化算法的基础，例如多目标优化算法，元素算法，约束优化算法等。对单个客观优化算法的研究影响了上述这些优化分支的发展。近年来，已经提出了各种新型的优化算法来解决房地产参数优化问题。自CEC'05进行房地产参数优化的特别会议以来，已经过去了八年。考虑到我们收到的CEC'05测试套件的评论，我们建议组织一项关于实际参数单目标优化的新竞赛。在CEC'13测试套件中，改进了先前提出的组成函数[2]，并包括其他测试功能。此特殊会话专门用于求解实际参数单一目标优化的方法，算法和技术，而无需使用测试功能的精确方程。我们鼓励所有研究人员在CEC'13测试套件上测试其算法，其中包括28个基准功能。参与者必须以技术报告中指定的格式发送最终结果。组织者将根据这些结果进行整体分析和比较。我们还将使用有关收敛性能的统计测试来比较最终生成类似最终解决方案的算法。也欢迎有关帮助我们理解问题特征的新颖概念的论文。
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.