该算法的灵感来自具有领导者成员的动物的集体运动。 可以针对各种优化问题对其进行修改。 该版本适用于CEC'17功能,还包括2D行为移动。 这是本文的一部分: Yapici H,CetinkayaN。一种新的元启发式优化器:Pathfinder算法。 应用软计算。 2019。
2021-09-24 10:35:17 3.56MB matlab
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CEC_Specs
2021-09-23 13:18:54 401KB CEC
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中国电子CEC健康医疗信息化.rar
2021-09-20 13:01:24 82KB
T/CEC+102.1—2016+电动汽车充换电服务信息交换-正式稿(四册全) T/CEC 102.1-2016 电动汽车充换电服务信息交换 第1部分:总则 T/CEC 102.2-2016 电动汽车充换电服务信息交换 第2部分: 公共信息交换规范 T/CEC 102.3-2016 电动汽车充换电服务信息交换 第3部分: 业务信息交换规范 T/CEC 102.4-2016 电动汽车充换电服务信息交换 第4部分: 数据传输及安全
2021-09-15 15:33:02 33.9MB 电动汽车充换 中电联 互联互通
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At recent several IEEE CEC congresses, the new variants of LSHADE algorithm occupy the tops of the lists, such as iL-SHADE, LSHADE-SPACMA, LSHADE-EpSin and jSO.
2021-09-11 16:40:26 3.75MB CEC
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新能源汽车充换电信息交换行业标准,包含以下文件: T/CEC 102.1—2016 电动汽车充换电服务信息交换 第1部分:总则 T/CEC 102.2—2016 电动汽车充换电服务信息交换 第2部分:公共信息交换规范 T/CEC 102.3—2016 电动汽车充换电服务信息交换 第3部分:业务信息交换规范 T/CEC 102.4—2016 电动汽车充换电服务信息交换 第4部分:数据传输及安全
2021-09-07 21:13:49 31.86MB 电动汽车 充换电
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关于HDMI端口CEC(消费电子控制)的功能与原理简介
2021-09-02 15:04:07 870KB HDMI CEC
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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.
2021-08-27 10:40:01 2.81MB CEC2013
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一、中国电子(CEC)集团简介 二、数字CEC的PKS-M实践
2021-08-11 09:00:49 2.61MB PKS-M 数字CEC 解决方案
HDMI-CEC简介.pptx
2021-08-10 14:09:39 464KB CEC hdmi
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