ACRO 发表于 2025-3-21 17:51:20
书目名称Applications of Evolutionary Computation影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0159387<br><br> <br><br>书目名称Applications of Evolutionary Computation读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0159387<br><br> <br><br>palliate 发表于 2025-3-21 21:57:32
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978-3-030-72698-0Springer Nature Switzerland AG 2021其他 发表于 2025-3-22 06:13:57
Encyclopedia of Computer Graphics and Gamesy Algorithms. Real-valued genotypes are utilized in a broad range of contexts, from weights in Artificial Neural Networks to parameters in robot control systems. Shared between most uses of real-valued genomes is the need for limiting the range of individual parameters to allowable bounds. In this pITCH 发表于 2025-3-22 10:43:59
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Ambartsumian, Sergey (Aleksandr)ing its effectiveness through the experiments. In this study, the “duplex route” corresponds to the alternative route and it has the advantage of not requiring to modify the route network in the environmental changes. To generate the duplex routes, this study employs MOEA/D as the base optimizationmaudtin 发表于 2025-3-23 02:36:05
Adaptive Structures, Principles ofmolecules towards specific features and applications. In this work, we expand on the latent space navigation approach, where molecules are optimized by operating in their latent representation inside a deep auto-encoder, by introducing multi-objective evolutionary algorithms (MOEAs), and benchmarkinlipids 发表于 2025-3-23 09:08:42
https://doi.org/10.1007/978-3-662-55771-6antity, and first product lead time. Using real-world inspection data, we demonstrate the ability to model product quality transformations during assembly jobs via genetic programming by considering the quality attributes of subparts. We investigate integrating quality transformation models into an