螺丝刀 发表于 2025-3-21 16:49:46
书目名称Metaheuristics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0631359<br><br> <br><br>书目名称Metaheuristics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0631359<br><br> <br><br>anaerobic 发表于 2025-3-22 00:12:10
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Conference proceedings 2023..The 48 full papers together with 17 short papers presented were carefully reviewed and selected from 72 submissions. The papers detail metaheuristic techniques..Chapter “Evaluating the Effects of Chaos in Variable Neighbourhood Search” is available open access under a Creative Commons Attribution小溪 发表于 2025-3-22 11:28:20
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Optimizing Multi-variable Time Series Forecasting Using Metaheuristics,t to improve the overall performance. The resulting environment is compared with other solutions that use only the same type of predictor for each variable. Finally, we can assert that using a multi-agent environment can improve the performance, accuracy, and generalization of our model.招待 发表于 2025-3-22 20:23:10
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0302-9743July 2022..The 48 full papers together with 17 short papers presented were carefully reviewed and selected from 72 submissions. The papers detail metaheuristic techniques..Chapter “Evaluating the Effects of Chaos in Variable Neighbourhood Search” is available open access under a Creative Commons Atdisciplined 发表于 2025-3-23 07:21:32
,Unsupervised Machine Learning for the Quadratic Assignment Problem,roblem instances. Negative results of the proposed learning mechanism are reported for other instances. This result contrasts with other hard optimization problems for which efficient learning processes are known in the context of local search.